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检索条件"任意字段=IEEE International Symposium on Computer Architecture and High Performance Computing"
16707 条 记 录,以下是221-230 订阅
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PhotoGAN: Generative Adversarial Neural Network Acceleration with Silicon Photonics
PhotoGAN: Generative Adversarial Neural Network Acceleration...
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ieee international symposium on Quality Electronic Design
作者: Tharini Suresh Salma Afifi Sudeep Pasricha Department of Electrical and Computer Engineering Colorado State University Fort Collins CO
Generative Adversarial Networks (GANs) are at the forefront of AI innovation, driving advancements in areas such as image synthesis, medical imaging, and data augmentation. However, the unique computational operations... 详细信息
来源: 评论
Proceedings - 25th ieee international symposium on high performance computer architecture, HPCA 2019
Proceedings - 25th IEEE International Symposium on High Perf...
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25th ieee international symposium on high performance computer architecture, HPCA 2019
The proceedings contain 57 papers. The topics discussed include: NoMap: speeding-up JavaScript using hardware transactional memory;Darwin-WGA: a co-processor provides increased sensitivity in whole genome alignments w...
来源: 评论
Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic Arrays
Explainable AI-Guided Efficient Approximate DNN Generation f...
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ieee international symposium on Quality Electronic Design
作者: Ayesha Siddique Khurram Khalil Khaza Anuarul Hoque Department of Electrical Engineering and Computer Science University of Missouri Columbia MO USA
Approximate deep neural networks (AxDNNs) are promising for enhancing energy efficiency in real-world devices. One of the key contributors behind this enhanced energy efficiency in AxDNN is the use of approximate mult... 详细信息
来源: 评论
Transformer-Based T1-Tractography
Transformer-Based T1-Tractography
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ieee international symposium on Biomedical Imaging
作者: Jongyeon Yoon Mingxing Rao Elyssa M. McMaster Chloe Cho Nancy R. Newlin Kurt G. Schilling Bennett A. Landman Daniel Moyer Department of Computer Science Vanderbilt University Nashville TN USA Department of Electrical and Computer Engineering Vanderbilt University Nashville TN USA Department of Biomedical Engineering Vanderbilt University Nashville TN USA Department of Radiology and Radiological Sciences Vanderbilt University Nashville TN USA Vanderbilt University Institute of Imaging Science Vanderbilt University Nashville TN USA
Diffusion MRI (dMRI) streamline tractography has been the gold standard for non-invasive estimation of white matter (WM) pathways in the human brain. Recent advancements in deep learning have enabled the generation of... 详细信息
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Proceedings - 22nd international symposium on computer architecture and high performance computing Workshops, SBAC-PADW 2010, 1st Workshop on Applications for Multi and Many Core architectures, WAMMCA 2010
Proceedings - 22nd International Symposium on Computer Archi...
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22nd international symposium on computer architecture and high performance computing Workshops, SBAC-PADW 2010, 1st Workshop on Applications for Multi and Many Core architectures, WAMMCA 2010
The proceedings contain 12 papers. The topics discussed include: ring pipelined algorithm for the algebraic path problem on the CELL broadband engine;performance evaluation of optimized implementations of finite diffe...
来源: 评论
Proceedings - 29th international symposium on computer architecture and high performance computing, SBAC-PAD 2017
Proceedings - 29th International Symposium on Computer Archi...
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29th international symposium on computer architecture and high performance computing, SBAC-PAD 2017
The proceedings contain 23 papers. The topics discussed include: extending OmpSs for OpenCL kernel co-execution in heterogeneous systems;data coherence analysis and optimization for heterogeneous computing;exploring h...
来源: 评论
Illuminati: A Simulation Framework for Modeling and Evaluating Photonic Neural Networks
Illuminati: A Simulation Framework for Modeling and Evaluati...
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ieee international symposium on Quality Electronic Design
作者: Andy Wolff Avinash Karanth School of Electrical Engineering and Computer Science Ohio University Athens OH
As the size of the neural network model increases along with complexity, the design of energy-efficient and highly accurate hardware accelerators for implementing complex neural network is becoming a major challenge. ... 详细信息
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Proceeding - 27th ieee international symposium on high performance computer architecture, HPCA 2021
Proceeding - 27th IEEE International Symposium on High Perfo...
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27th Annual ieee international symposium on high performance computer architecture, HPCA 2021
The proceedings contain 69 papers. The topics discussed include: mix and match: a novel FPGA-centric deep neural network quantization framework;BRIM: bistable resistively-coupled Ising machine;systematic approaches fo...
来源: 评论
high Throughput Matrix Transposition on HBM-Enabled FPGAs
High Throughput Matrix Transposition on HBM-Enabled FPGAs
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Annual ieee symposium on Field-Programmable Custom computing Machines (FCCM)
作者: Yang Yang Rajgopal Kannan Viktor K. Prasanna Department of Electrical and Computer Engineering University of Southern California DEVCOM ARL Army Research Office Los Angeles CA
Matrix transposition is a classic operation in machine learning and scientific applications. HBM-enabled FPGAs, with their high-bandwidth capabilities, are increasingly deployed in the data centers. However, achieving... 详细信息
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VQ-LLM: high-performance Code Generation for Vector Quantization Augmented LLM Inference
VQ-LLM: High-performance Code Generation for Vector Quantiza...
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ieee symposium on high-performance computer architecture
作者: Zihan Liu Xinhao Luo Junxian Guo Wentao Ni Yangjie Zhou Yue Guan Cong Guo Weihao Cui Yu Feng Minyi Guo Yuhao Zhu Minjia Zhang Chen Jin Jingwen Leng Shanghai Jiao Tong University Shanghai Qi Zhi Institute Duke University National University of Singapore University of Rochester University of Illinois Urbana-Champaign Magik Compute
Vector quantization (VQ), which treats a vector as a compression unit, gains increasing research interests for its potential to accelerate large language models (LLMs). Compared to conventional element-wise quantizati... 详细信息
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