APNN-TC

Author:

Feng Boyuan1,Wang Yuke1,Geng Tong2,Li Ang2,Ding Yufei1

Affiliation:

1. University of California

2. Pacific Northwest National Laboratory

Funder

NSF (National Science Foundation)

U.S. DOE Office of Sci-ence, Office of Advanced Scientific Computing Research

Publisher

ACM

Reference47 articles.

1. AMD. 2013. AMD Accelerated Parallel Processing OpenCL Programming Guide. http://developer.amd.com/wordpress/media/2013/07/AMD_Accelerated_Parallel_Processing_OpenCL_Programming_Guide-rev-2.7.pdf. AMD. 2013. AMD Accelerated Parallel Processing OpenCL Programming Guide. http://developer.amd.com/wordpress/media/2013/07/AMD_Accelerated_Parallel_Processing_OpenCL_Programming_Guide-rev-2.7.pdf.

2. Deep Learning with Low Precision by Half-Wave Gaussian Quantization

3. Xception: Deep Learning with Depthwise Separable Convolutions

4. NVIDIA A100 Tensor Core GPU: Performance and Innovation

5. Volta: Performance and Programmability

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2. ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference;Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1;2024-04-17

3. Revisit and Benchmarking of Automated Quantization Toward Fair Comparison;IEEE Transactions on Computers;2024-01

4. DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

5. BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs;Proceedings of the 37th International Conference on Supercomputing;2023-06-21

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