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Artificial Intelligence in Electric Machine Drives: Advances and Trends

Shen Zhang

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Tags: Algorithms, Artificial intelligence, Computer science, Deep learning, FPGA, nVidia, nVidia Tegra K1, Review

October 17, 2021 by hgpu

Beyond Desktop Computation: Challenges in Scaling a GPU Infrastructure

Martin Uray, Eduard Hirsch, Gerold Katzinger, Michael Gadermayr

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce RTX 2080 Ti, nVidia RTX A6000

October 17, 2021 by hgpu

Implementation of Parallel Simplified Swarm Optimization in CUDA

Wei-Chang Yeh, Zhenyao Liu, Shi-Yi Tan, Shang-Ke Huang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 1080, Particle swarm optimization

October 10, 2021 by hgpu

GCN Inference Acceleration using High-Level Synthesis

Yi Chien Lin, Bingyi Zhang, Viktor Prasanna

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Tags: Computer science, Data parallelism, Design space exploration, FPGA, nVidia, nVidia GeForce GTX Titan XP, OpenCL, Package

October 10, 2021 by hgpu

Large-eddy simulations with ClimateMachine: a new open-source code for atmospheric simulations on GPUs and CPUs

Akshay Sridhar, Yassine Tissaoui, Simone Marras, Zhaoyi Shen, Charles Kawczynski, Simon Byrne, Kiran Pamnany, Maciej Waruszewski, Thomas H. Gibson, Jeremy E. Kozdon, Valentin Churavy, Lucas C. Wilcox, Francis X. Giraldo, Tapio Schneider

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Tags: CUDA, Earth and Space Sciences, nVidia, Package, Tesla V100, Weather prediction

October 10, 2021 by hgpu

HLS Portability from Intel to Xilinx: A Case Study

Zhili Xiao, Roger D. Chamberlain, Anthony M. Cabrera

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Tags: Benchmarking, Compilers, Computer science, FPGA, HLS, OpenCL, Package

October 3, 2021 by hgpu

Embedded Software Synthesis using Heterogeneous Dataflow Models

Omair Rafique

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Tags: ATI, ATI Radeon HD 5450, Code generation, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 1050, nVidia GeForce GTX 950 M, OpenCL, Thesis

October 3, 2021 by hgpu

Accelerating Encrypted Computing on Intel GPUs

Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky

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Tags: Algorithms, Computer science, Deep learning, Intel, Package, Security, SYCL

October 3, 2021 by hgpu

Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System

Tsung-Wei Huang, Dian-Lun Lin, Chun-Xun Lin, Yibo Lin

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Tags: Computer science, CUDA, Heterogeneous systems, HPC, Machine learning, nVidia, nVidia GeForce GTX 2080, Package

September 26, 2021 by hgpu

An Experimental Study of SYCL Task Graph Parallelism for Large-Scale Machine Learning Workloads

Cheng-Hsiang Chiu, Dian-Lun Lin, Tsung-Wei Huang

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Tags: Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 2080, SYCL

September 26, 2021 by hgpu

IgNet. A Super-precise Convolutional Neural Network

Igor Mackarov

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Tags: Computer science, Machine learning, Neural networks, OpenCL

September 26, 2021 by hgpu

CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research

Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather

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Tags: Artificial intelligence, Benchmarking, Compilers, Computer science, CUDA, Machine learning, nVidia, Package, Performance

September 26, 2021 by hgpu

high performance computing on graphics processing units: hgpu.org

Programming

Artificial Intelligence in Electric Machine Drives: Advances and Trends

Beyond Desktop Computation: Challenges in Scaling a GPU Infrastructure

Implementation of Parallel Simplified Swarm Optimization in CUDA

GCN Inference Acceleration using High-Level Synthesis

Large-eddy simulations with ClimateMachine: a new open-source code for atmospheric simulations on GPUs and CPUs

HLS Portability from Intel to Xilinx: A Case Study

Embedded Software Synthesis using Heterogeneous Dataflow Models

Accelerating Encrypted Computing on Intel GPUs

Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System

An Experimental Study of SYCL Task Graph Parallelism for Large-Scale Machine Learning Workloads

IgNet. A Super-precise Convolutional Neural Network

CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research

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