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2020 IEEE High Performance Extreme Computing Conference (HPEC)
IEEE [szerk.]
Angol nyelvű Konferenciakötet (Könyv) Tudományos
Megjelent: Institute of Electrical and Electronics Engineers (IEEE), Piscataway (NJ), Amerikai Egyesült Államok
2020
Konferencia:
2020 IEEE High Performance Extreme Computing Conference (HPEC) 2020-09-22 [Waltham (MA), Amerikai Egyesült Államok]
Azonosítók
MTMT: 31861480
ISBN:
9781728192192
Fejezetek
Chatarasi Prasanth et al. Vyasa: A High-Performance Vectorizing Compiler for Tensor Convolutions on the Xilinx AI Engine. (2020) Megjelent: 2020 IEEE High Performance Extreme Computing Conference (HPEC)
Floros D. et al. Fast Graphlet Transform of Sparse Graphs. (2020) Megjelent: 2020 IEEE High Performance Extreme Computing Conference (HPEC)
Floros D. et al. Using Graphlet Spectrograms for Temporal Pattern Analysis of Virus-Research Collaboration Networks. (2020) Megjelent: 2020 IEEE High Performance Extreme Computing Conference (HPEC)
Fu T. et al. LessMine: Reducing Sample Space and Data Access for Dense Pattern Mining. (2020) Megjelent: 2020 IEEE High Performance Extreme Computing Conference (HPEC)
Goodwin Justin et al. Fast Training of Deep Neural Networks Robust to Adversarial Perturbations. (2020) Megjelent: 2020 IEEE High Performance Extreme Computing Conference (HPEC)
Kljucaric Luke et al. Architectural Analysis of Deep Learning on Edge Accelerators. (2020) Megjelent: 2020 IEEE High Performance Extreme Computing Conference (HPEC)
Langerman David et al. Beyond Floating-Point Ops: CNN Performance Prediction with Critical Datapath Length. (2020) Megjelent: 2020 IEEE High Performance Extreme Computing Conference (HPEC)
Minor AC et al. GPU Accelerated Anomaly Detection of Large Scale Light Curves. (2020) Megjelent: 2020 IEEE High Performance Extreme Computing Conference (HPEC)
Samsi Siddharth et al. Benchmarking network fabrics for data distributed training of deep neural networks. (2020) Megjelent: 2020 IEEE High Performance Extreme Computing Conference (HPEC)
Elekes Márton et al. A GraphBLAS solution to the SIGMOD 2014 Programming Contest using multi-source BFS. (2020) Megjelent: 2020 IEEE High Performance Extreme Computing Conference (HPEC) pp. 1-7
Wu Chunshu et al. A Communication-Efficient Multi-Chip Design for Range-Limited Molecular Dynamics. (2020) Megjelent: 2020 IEEE High Performance Extreme Computing Conference (HPEC) pp. 1-8
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2025-11-11 23:53
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Hivatkozás stílusok:
IEEE
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APA
Chicago
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