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1

Constantine, Simon. "From the Museum to the Street: Garry Winogrand’s Public Relations and the Actuality of Protest." Arts 8, no. 2 (2019): 59. http://dx.doi.org/10.3390/arts8020059.

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Focusing on Garry Winogrand’s Public Relations (1977), this article explores the problematic encounter between street photography and protest during the Vietnam War era. In doing so, it considers the extent to which Winogrand’s engagement with protest altered the formalist discourse that had surrounded his practice and the ‘genre’ of street photography more broadly since the 1950s. It is suggested that, although Winogrand never abandoned his debt to this framework, the logic of protest also intensified its internal contradictions, prompting a new attitude towards the crowd, art institution, st
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Parry Janis, Eugenia. "Winogrand; Excesses of a Modern Mannerist." History of Photography 13, no. 3 (1989): 257–58. http://dx.doi.org/10.1080/03087298.1989.10441202.

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Anderson, Kathy J. "WINOGRAND: FIGMENTS FROM THE REAL WORLD. John Szarkowski." Art Documentation: Journal of the Art Libraries Society of North America 7, no. 4 (1988): 171–72. http://dx.doi.org/10.1086/adx.7.4.27947982.

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Sakaguchi, Keisuke, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. "WinoGrande: An Adversarial Winograd Schema Challenge at Scale." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 8732–40. http://dx.doi.org/10.1609/aaai.v34i05.6399.

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The Winograd Schema Challenge (WSC) (Levesque, Davis, and Morgenstern 2011), a benchmark for commonsense reasoning, is a set of 273 expert-crafted pronoun resolution problems originally designed to be unsolvable for statistical models that rely on selectional preferences or word associations. However, recent advances in neural language models have already reached around 90% accuracy on variants of WSC. This raises an important question whether these models have truly acquired robust commonsense capabilities or whether they rely on spurious biases in the datasets that lead to an overestimation
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Baer, Ulrich. "Seeing the Future in an Image from the Past: Hannah Arendt, Garry Winogrand, and Photographing the World." Yearbook of Comparative Literature 55, no. 1 (2009): 226–63. http://dx.doi.org/10.1353/cgl.2011.0000.

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6

Sakaguchi, Keisuke, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. "WinoGrande." Communications of the ACM 64, no. 9 (2021): 99–106. http://dx.doi.org/10.1145/3474381.

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Commonsense reasoning remains a major challenge in AI, and yet, recent progresses on benchmarks may seem to suggest otherwise. In particular, the recent neural language models have reported above 90% accuracy on the Winograd Schema Challenge (WSC), a commonsense benchmark originally designed to be unsolvable for statistical models that rely simply on word associations. This raises an important question---whether these models have truly acquired robust commonsense capabilities or they rely on spurious biases in the dataset that lead to an overestimation of the true capabilities of machine commo
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Rembiszewska, Dorota Krystyna, and Janusz Siatkowski. "Jakie zapożyczenie i skąd? O wyrazie winohrad, winograd ‘winnica’, ‘winorośl’, ‘winogrono’." TEKA Komisji Polsko-Ukraińskich Związków Kulturowych 6 (December 14, 2021): 173–81. http://dx.doi.org/10.31743/teka.13354.

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Przedmiotem omówienia jest rozstrzygnięcie problemu, jak traktować wyrazy, które mogą być pożyczkami leksykalnymi lub adaptacją fonetyczną. Zagadnienie to zostało omówione na przykładzie wyrazu winohrad, winograd ‘winnica’, ‘winorośl’, winogrono’ – dawna pożyczka germańska, która przeniknęła do języków wschodniosłowiańskich.
 Zgromadzone w dotychczasowych opracowaniach bogate materiały, w tym z polskich słowników historycznych i gwarowych, pozwalają na ustalenie, w jakim stopniu wpływał tu język czeski, a w jakim języki wschodniosłowiańskie. Przytaczamy więc bardzo bogaty materiał źródłow
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Yang, Tao, Zhezhi He, Tengchuan Kou, et al. "BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization." ACM Transactions on Reconfigurable Technology and Systems 14, no. 4 (2021): 1–28. http://dx.doi.org/10.1145/3467476.

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Field-programmable Gate Array (FPGA) is a high-performance computing platform for Convolution Neural Networks (CNNs) inference. Winograd algorithm, weight pruning, and quantization are widely adopted to reduce the storage and arithmetic overhead of CNNs on FPGAs. Recent studies strive to prune the weights in the Winograd domain, however, resulting in irregular sparse patterns and leading to low parallelism and reduced utilization of resources. Besides, there are few works to discuss a suitable quantization scheme for Winograd. In this article, we propose a regular sparse pruning pattern in the
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9

Lyakhov, P. A., N. N. Nagornov, N. F. Semyonova, and A. S. Abdulsalyamova. "Development of digital image processing algorithms based on the Winograd method in general form and analysis of their computational complexity." Computer Optics 47, no. 1 (2023): 68–78. http://dx.doi.org/10.18287/2412-6179-co-1146.

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The fast increase of the amount of quantitative and qualitative characteristics of digital visual data calls for the improvement of the performance of modern image processing devices. This article proposes new algorithms for 2D digital image processing based on the Winograd method in a general form. An analysis of the obtained results showed that the use of the Winograd method reduces the computational complexity of image processing by up to 84% compared to the traditional direct digital filtering method depending on the filter parameters and image fragments, while not affecting the quality of
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10

Mori, Pierpaolo, Mohammad Shanur Rahman, Lukas Frickenstein, et al. "End-to-End Deployment of Winograd-Based DNNs on Edge GPU." Electronics 13, no. 22 (2024): 4538. http://dx.doi.org/10.3390/electronics13224538.

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The Winograd algorithm reduces the computational complexity of convolutional neural networks (CNNs) by minimizing the number of multiplications required for convolutions, making it particularly suitable for resource-constrained edge devices. Concurrently, most edge hardware accelerators utilize 8-bit integer arithmetic to enhance energy efficiency and reduce inference latency, requiring the quantization of CNNs before deployment. Combining Winograd-based convolution with quantization offers the potential for both performance acceleration and reduced energy consumption. However, prior research
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11

Oliveira, Flávio, Joaquín O. Izquierdo-Cases, Alfonso Martínez-Nova, Elena Contreras-Barragán, and Pedro V. Munuera-Martínez. "The Modified versus the Conventional Winograd Technique for the Treatment of Onychocryptosis: A Retrospective Study." International Journal of Environmental Research and Public Health 19, no. 13 (2022): 7818. http://dx.doi.org/10.3390/ijerph19137818.

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The Winograd technique is a common surgical treatment for ingrown toenails. Attempting to improve the results of this technique, two modifications were adopted: the incisional approach and the use of adhesive approximation strips. This study aimed to compare the conventional technique and the modified version based on (i) postoperative complications, (ii) healing time, (iii) recurrence rate, and (iv) overall patient satisfaction. A longitudinal, observational, and retrospective design was used, with a sample of 208 patients divided into the modified Winograd technique (n = 111) and the convent
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Li, Jie, Yong Liang, Zhenhao Yang, and Xinhai Li. "An Efficient Convolutional Neural Network Accelerator Design on FPGA Using the Layer-to-Layer Unified Input Winograd Architecture." Electronics 14, no. 6 (2025): 1182. https://doi.org/10.3390/electronics14061182.

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Convolutional Neural Networks (CNNs) have found widespread applications in artificial intelligence fields such as computer vision and edge computing. However, as input data dimensionality and convolutional model depth continue to increase, deploying CNNs on edge and embedded devices faces significant challenges, including high computational demands, excessive hardware resource consumption, and prolonged computation times. In contrast, the Decomposable Winograd Method (DWM), which decomposes large-size or large-stride kernels into smaller kernels, provides a more efficient solution for inferenc
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Castro, Roberto L., Diego Andrade, and Basilio B. Fraguela. "OpenCNN: A Winograd Minimal Filtering Algorithm Implementation in CUDA." Mathematics 9, no. 17 (2021): 2033. http://dx.doi.org/10.3390/math9172033.

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Improving the performance of the convolution operation has become a key target for High Performance Computing (HPC) developers due to its prevalence in deep learning applied mainly to video processing. The improvement is being pushed by algorithmic and implementation innovations. Algorithmically, the convolution can be solved as it is mathematically enunciated, but other methods allow to transform it into a Fast Fourier Transform (FFT) or a GEneral Matrix Multiplication (GEMM). In this latter group, the Winograd algorithm is a state-of-the-art variant that is specially suitable for smaller con
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14

Ubiquity staff. "Talking with Terry Winograd." Ubiquity 2002, July (2002): 1. http://dx.doi.org/10.1145/763764.763765.

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Ubiquity staff. "Talking with Terry Winograd." Ubiquity 2002, July (2002): 1. http://dx.doi.org/10.1145/763766.763765.

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Çiçek, Oğuzhan, Dursun Karakaş, Hakan Uslu, and Bedirhan Sarı. "Comparison of outcomes of banding, nail brace, and Winograd techniques in the treatment of ingrown toenails." Anatolian Current Medical Journal 7, no. 2 (2025): 159–63. https://doi.org/10.38053/acmj.1631365.

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Aims: This study aims to evaluate the clinical outcomes of three commonly used treatment methods—banding, nail brace, and the Winograd procedure—in patients with Heifetz stage 2 ingrown toenails. Parameters such as recurrence rate, infection rate, postoperative pain, and patient satisfaction were assessed to guide clinical decision-making. Methods: This retrospective study included 91 patients diagnosed with Heifetz stage 2 ingrown toenail, who were treated using one of three methods. Patients were divided into three groups: banding, nail brace, and Winograd procedure. Visual Analog Scale (VAS
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17

Vaddiraju Venkata Satya Sreya, Lanka Mohan Satish, Velaga Hemu Sai, and Sasanapuri Sai Vijaya Krishna. "Assessment of Winograd-based processor element for CNN processor and ASIC implementation of convolution processor element." World Journal of Advanced Research and Reviews 16, no. 1 (2022): 761–66. http://dx.doi.org/10.30574/wjarr.2022.16.1.1101.

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The convolutional neural network (CNN) is the most widely used machine learning technique within the fields of image and video processing. It is primarily used to categorize images using vast datasets. This require a lot of calculations. The effectiveness of a field-programmable gate array (FPGA) as a hardware accelerator for CNNs will give excellent performance at low power budgets. The employment of the Winograd algorithm can reduce the number of processing stages in CNN. 2-D convolution is employed for the bulk of calculations in CNNs. The tactic for computing convolution for smaller filter
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Vaddiraju, Venkata Satya Sreya, Mohan Satish Lanka, Hemu Sai Velaga, and Sai Vijaya Krishna Sasanapuri. "Assessment of Winograd-based processor element for CNN processor and ASIC implementation of convolution processor element." World Journal of Advanced Research and Reviews 16, no. 1 (2023): 761–66. https://doi.org/10.5281/zenodo.7771733.

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The convolutional neural network (CNN) is the most widely used machine learning technique within the fields of image and video processing. It is primarily used to categorize images using vast datasets. This require a lot of calculations. The effectiveness of a field-programmable gate array (FPGA) as a hardware accelerator for CNNs will give excellent performance at low power budgets. The employment of the Winograd algorithm can reduce the number of processing stages in CNN. 2-D convolution is employed for the bulk of calculations in CNNs. The tactic for computing convolution for smaller filter
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19

Acar, Erdinc. "Winograd Method Versus Winograd Method With Electrocoagulation in the Treatment of Ingrown Toenails." Journal of Foot and Ankle Surgery 56, no. 3 (2017): 474–77. http://dx.doi.org/10.1053/j.jfas.2017.01.010.

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20

Huang, Di, Xishan Zhang, Rui Zhang, et al. "DWM: A Decomposable Winograd Method for Convolution Acceleration." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (2020): 4174–81. http://dx.doi.org/10.1609/aaai.v34i04.5838.

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Winograd's minimal filtering algorithm has been widely used in Convolutional Neural Networks (CNNs) to reduce the number of multiplications for faster processing. However, it is only effective on convolutions with kernel size as 3x3 and stride as 1, because it suffers from significantly increased FLOPs and numerical accuracy problem for kernel size larger than 3x3 and fails on convolution with stride larger than 1. In this paper, we propose a novel Decomposable Winograd Method (DWM), which breaks through the limitation of original Winograd's minimal filtering algorithm to a wide and general co
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21

Mott, Peter. "Towards a Winograd/Flores semantics." Minds and Machines 5, no. 1 (1995): 69–87. http://dx.doi.org/10.1007/bf00974190.

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Staff, Ubiquity. "An Interview with Terry Winograd." Ubiquity 2008, October (2008): 1–6. http://dx.doi.org/10.1145/1455664.1459236.

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23

Ghosh, Sebati, and Palash Sarkar. "Evaluating Bernstein–Rabin–Winograd polynomials." Designs, Codes and Cryptography 87, no. 2-3 (2018): 527–46. http://dx.doi.org/10.1007/s10623-018-0561-7.

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Agarwala, Sanjay, Anshul Shyam Sobti, and Ganesh Mohrir. "Neutralized Chemical Matricectomy with the Winograd Method in the Management of Ingrowing Toenail." Journal of Foot and Ankle Surgery (Asia Pacific) 1, no. 2 (2014): 55–59. http://dx.doi.org/10.5005/jp-journals-10040-1013.

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ABSTRACT Background Ingrowing toenail is a common condition provoking pain, inflammation and functional limitation. Many surgical methods have evolved over the years for its treatment. The most important aspect of treatment of this problem is to prevent recurrence. The purpose of this paper was to study the effectiveness of combining the standard Winograd technique with neutralized chemical matricectomy to reduce the chances of recurrence and expedite postoperative recovery. Materials and methods Between 2006 and 2013, 33 patients (18 males, 15 females); with mean age 37.39 years (range 16 to
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Karacan, Erkan, and Devran Ertilav. "Comparison of Vandenbos procedure or Winograd method for ingrown toenail." Joint Diseases and Related Surgery 32, no. 2 (2021): 414–19. http://dx.doi.org/10.52312/jdrs.2021.36.

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Objectives: This study aims to compare the outcomes of the Winograd method and Vandenbos procedure used to treat an ingrown toenail. Patients and methods: Between January 2017 and February 2020, a total of 145 patients (65 males, 80 females; mean age: 31.45 years; range, 13 to 61 years) who were treated with Winograd or Vandenbos procedure for an ingrown toenail were retrospectively analyzed. Of the patients, 70 underwent the Winograd method (Group 1) and 75 underwent the Vandenbos procedure (Group 2). Postoperative Visual Analog Scale (VAS) scores, demographic data, recurrence/complication ra
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Wang, Qi, Jianghan Zhu, Can He, et al. "Karatsuba Algorithm Revisited for 2D Convolution Computation Optimization." Entropy 27, no. 5 (2025): 506. https://doi.org/10.3390/e27050506.

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Convolution plays a significant role in many scientific and technological computations, such as artificial intelligence and signal processing. Convolutional computations consist of many dot-product operations (multiplication–accumulation, or MAC), for which the Winograd algorithm is currently the most widely used method to reduce the number of MACs. The Karatsuba algorithm, since its introduction in the 1960s, has been traditionally used as a fast arithmetic method to perform multiplication between large-bit-width operands. It had not been exploited to accelerate 2D convolution computations be
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KAYA, Emre, and Tamer COŞKUN. "Comparison Of Winograde And Vandenbos Surgical Techniques According To Heifetz Stage In The Treatment Of Ingrown Toenails." Journal of Contemporary Medicine 12, no. 6 (2022): 930–36. http://dx.doi.org/10.16899/jcm.1175187.

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Abstract
 Background: In ingrown toenail, classifications and the treatment approaches according to staging has been clearly reported in the literature. However, there are not enough data about the selection of the appropriate surgical technique according to the stage. In this study, we compared two different surgical techniques in patients with Heifetz stage 2 and 3 in means of surgical results, recovery time, patient comfort and cosmetics.
 Methods: Between January 2019 and January 21, patients who applied with the complaint of ingrown toenails who were treated with two mentioned s
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Ertürk, Cemil, and H. Günhan Karakurum. "Results Of The Winograd Technique In The Treatment Of Ingrowing Toe Nail." European Journal of Therapeutics 15, no. 2 (2009): 19–22. http://dx.doi.org/10.58600/eurjther.2009-15-2-1301-arch.

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 Ingrown toe nails are common in young people. This condition is painfull and may lead to time off work in addition to restricting recreational activities. Treatment ranges from changing foot wear to extensive surgical procedures. In this study, we evaluated the results of the technique described by Winograd in patients with ingrowing toe nail. The study included 28 patients (20 males, 8 females; mean age 25 years; range 14 to 56 years) who were treated with the technique describe by Winograd for ingrown toenails. A total of 31 ingrown nail edges were treated. According to the Heifetz's
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Morgenstern, Leora. "Technical perspective: The importance of WINOGRANDE." Communications of the ACM 64, no. 9 (2021): 98. http://dx.doi.org/10.1145/3474378.

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Kocijan, Vid, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, and Leora Morgenstern. "The Defeat of the Winograd Schema Challenge (Abstract Reprint)." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 20 (2024): 22703. http://dx.doi.org/10.1609/aaai.v38i20.30603.

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The Winograd Schema Challenge—a set of twin sentences involving pronoun reference disambiguation that seem to require the use of commonsense knowledge—was proposed by Hector Levesque in 2011. By 2019, a number of AI systems, based on large pre-trained transformer-based language models and fine-tuned on these kinds of problems, achieved better than 90% accuracy. In this paper, we review the history of the Winograd Schema Challenge and discuss the lasting contributions of the flurry of research that has taken place on the WSC in the last decade. We discuss the significance of various datasets de
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Li, Zhengjie, Lingli Hou, Xinxuan Tao, Jian Wang, and Jinmei Lai. "HBCA: A Toolchain for High-Accuracy Branch-Fused CNN Accelerator on FPGA with Dual-Decimal-Fused Technique." Electronics 12, no. 1 (2022): 192. http://dx.doi.org/10.3390/electronics12010192.

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The programmability of FPGA suits the constantly changing convolutional neural network (CNN). However, several challenges arise when the previous FPGA-based accelerators update CNN. Firstly, although the model of RepVGG can balance accuracy and speed, it solely supports two types of kernels. Meanwhile, 8-bit integer-only quantization of PyTorch which can support various CNNs is seldom successfully supported by the FPGA-based accelerators. In addition, Winograd F(4 × 4, 3 × 3) uses less multiplication, but its transformation matrix contains irregular decimals, which could lead to accuracy probl
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Lo, Kin Ian, Mehrnoosh Sadrzadeh, and Shane Mansfield. "Generalised Winograd Schema and its Contextuality." Electronic Proceedings in Theoretical Computer Science 384 (August 23, 2023): 187–202. http://dx.doi.org/10.4204/eptcs.384.11.

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Bogen, David. "?Do Winograd and Flores have politics??" Computer Supported Cooperative Work (CSCW) 3, no. 1 (1994): 79–83. http://dx.doi.org/10.1007/bf01305851.

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Fan, Yu-Cheng, Kun-Yao Lin, and Yen-Hsun Tsai. "2D Winograd CNN Chip for COVID-19 and Pneumonia Detection." Applied Sciences 12, no. 24 (2022): 12891. http://dx.doi.org/10.3390/app122412891.

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In this paper, a two-dimensional Winograd CNN (Convolutional Neural Network) chip for COVID-19 and pneumonia detection is proposed. In light of the COVID-19 pandemic, many studies have led to a dramatic increase in the effects of the virus on the lungs. Some studies have also pointed out that the clinical application of deep learning in the medical field is also increasing, and it is also pointed out that the radiation impact of CT exposure is more serious than that of X-ray films and that CT exposure is not suitable for viral pneumonia. This study will analyze the results of X-rays trained us
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Ambati, Sathvik, Mitul Tyagi, Shubham Kar, Brajesh Pandey, and Sachin B. Patkar. "Enhancing Image Segmentation with Optimized Winograd Algorithm for Convolution Neural Network." International Journal of Microsystems and IoT 2, no. 3 (2024): 651–57. https://doi.org/10.5281/zenodo.10884657.

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The U-Net architecture has emerged as a popular choice for image segmentation, encompassing convolution, max pooling, upsampling, and concatenation layers. The work aims on enhancing the Winograd algorithm used for convolutions, by introducing a Convolution Pooling Engine that incorporates alterations in the data transformation stage and integrates bias adjustments into the existing adaptations of Winograd convolution. This approach leads to a notable reduction of 7% in sub/add operations. Besides, the convolution computation immediately after an upsampling layer is often inefficient due to re
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Yuan, S., and J. C. Tsay. "Unified approach to designing parallel Winograd algorithms." IEE Proceedings - Computers and Digital Techniques 141, no. 3 (1994): 161. http://dx.doi.org/10.1049/ip-cdt:19949981.

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Macleod, M. D. "Multiplierless Winograd and Prime Factor FFT Implementation." IEEE Signal Processing Letters 11, no. 9 (2004): 740–43. http://dx.doi.org/10.1109/lsp.2004.833587.

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Malone, Thomas W. "Commentary on Suchman article and Winograd response." Computer Supported Cooperative Work (CSCW) 3, no. 1 (1994): 37–38. http://dx.doi.org/10.1007/bf01305841.

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Khan, Aftab Ahmad, and Shiv Kumar. "Results of Winograd technique (wedge resection of the toenail and nail bed) in ingrown toe nail." International Surgery Journal 6, no. 7 (2019): 2349. http://dx.doi.org/10.18203/2349-2902.isj20192953.

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Background: Ingrown toe nail is a very common condition affecting toes which causes significant morbidity. Most common reasons are improper nail trimming or a tight show wear. Early stages can be managed conservatively by warm soaks, antibiotics and analgesics, however late stages need surgical intervention. Numerous surgical techniques have been described for this condition.Methods: A prospective study was carried out in District hospital Doda from November 2015 to November 2017. Wedge resection of the toe nail and nail bed (Winograd technique) was used. Recurrence rates, complications and pa
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Davis, Ernest, Leora Morgenstern, and Charles L. Ortiz. "The First Winograd Schema Challenge at IJCAI-16." AI Magazine 38, no. 3 (2017): 97–98. http://dx.doi.org/10.1609/aimag.v38i4.2734.

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The first Winograd Schema Challenge was held in New York, New York, as part of the International Joint Conference on Artificial Intelligence. The challenge was original conceived by Hector Levesque as an alternative to the Turing Test. This report details the results of this first challenge.
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Davie, A. M., and A. J. Stothers. "Improved bound for complexity of matrix multiplication." Proceedings of the Royal Society of Edinburgh: Section A Mathematics 143, no. 2 (2013): 351–69. http://dx.doi.org/10.1017/s0308210511001648.

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We give a new bound ω < 2.37369 for the exponent of complexity of matrix multiplication, giving a small improvement on the previous bound obtained by Coppersmith and Winograd. The proof involves an extension of the method used by these authors. We have attempted to make the exposition self-contained.
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Zubaidi, Muhamad. "Winogrona – surowiec do produkcji win." PRZEMYSŁ FERMENTACYJNY I OWOCOWO-WARZYWNY 1, no. 1 (2024): 30–33. http://dx.doi.org/10.15199/64.2024.1.5.

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Preston, Nathaniel LP, Chandana Halaharvi, and Daniel B. Logan. "Severe ingrown toenail with hypertrophic skin bridging: A case report and review of the literature." Proceedings of Singapore Healthcare 27, no. 3 (2018): 214–17. http://dx.doi.org/10.1177/2010105818760046.

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We present a case report of an 18-year-old male who was diagnosed with a chronic non-congenital ingrown toenail to his right hallux with skin bridging spanning the mid-portion of the nail plate. The patient elected to pursue surgical correction and underwent a Winograd procedure under monitored anesthesia care. The incision sites healed without incident.
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Morgenstern, Leora, Ernest Davis, and Charles L. Ortiz. "Planning, Executing, and Evaluating the Winograd Schema Challenge." AI Magazine 37, no. 1 (2016): 50–54. http://dx.doi.org/10.1609/aimag.v37i1.2639.

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The Winograd Schema Challenge was proposed by Hector Levesque in 2011 as an alternative to the Turing Test. Chief among its features is a simple question format that can span many commonsense knowledge domains. Questions are chosen so that they do not require specialized knoweldge or training, and are easy for humans to answer. This article details our plans to run the WSC and evaluate results.
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Ji, Zeyu, Xingjun Zhang, Zheng Wei, Jingbo Li, and Jia Wei. "A tile-fusion method for accelerating Winograd convolutions." Neurocomputing 460 (October 2021): 9–19. http://dx.doi.org/10.1016/j.neucom.2021.06.003.

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DARTE, ALAIN, and FRÉDÉRIC VIVIEN. "REVISITING THE DECOMPOSITION OF KARP, MILLER AND WINOGRAD." Parallel Processing Letters 05, no. 04 (1995): 551–62. http://dx.doi.org/10.1142/s0129626495000497.

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Abstract:
This paper is devoted to the construction of multi-dimensional schedules for a system of uniform recurrence equations. We show that this problem is dual to the problem of computability of a system of uniform recurrence equations. We propose a new study of the decomposition algorithm first proposed by Karp, Miller and Winograd: we base our implementation on linear programming resolutions whose duals give exactly the desired multi-dimensional schedules. Furthermore, we prove that the schedules built this way are optimal up to a constant factor.
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47

Lachniet, Matthew S., Yemane Asmerom, and Victor Polyak. "Response to the correspondence article by Dr. Winograd." Quaternary Science Reviews 45 (June 2012): 129–33. http://dx.doi.org/10.1016/j.quascirev.2012.04.014.

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48

D’Alberto, Paolo. "The Better Accuracy of Strassen-Winograd Algorithms (FastMMW)." Advances in Linear Algebra & Matrix Theory 04, no. 01 (2014): 9–39. http://dx.doi.org/10.4236/alamt.2014.41002.

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49

Gopal, B., and S. Manohar. "VLSI architecture for the Winograd Fourier transform algorithm." Microprocessing and Microprogramming 40, no. 9 (1994): 605–16. http://dx.doi.org/10.1016/0165-6074(94)90089-2.

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50

Margaris, Athanasios I. "Understanding the Theory of Karp, Miller and Winograd." Journal of Applied Mathematics and Physics 12, no. 04 (2024): 1203–36. http://dx.doi.org/10.4236/jamp.2024.124075.

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