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Analysis and Comparison of Performance and Power Consumption of Neural Networks on CPU, GPU, TPU and FPGA

Christopher Noel Hesse

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Tags: Benchmarking, Computer science, Deep learning, FPGA, Neural networks, nVidia, nVidia DGX-1, nVidia GeForce RTX 2070, nVidia Jetson Nano, Performance, Tesla V100

December 5, 2021 by hgpu

Concurrency Mapping to FPGAs with OpenCL: A Case Study with a Shallow Water Kernel

Moteb Alghamdi, Graham Riley, Mike Ashworth

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Tags: Computer science, FPGA, HLS, HPC, OpenCL

November 28, 2021 by hgpu

Programming Heterogeneous Systems with General and Domain-Specific Frameworks

Lukas Sommer

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce RTX 2070, OpenCL, OpenMP, Package, Python, Thesis

November 21, 2021 by hgpu

FLOWER: A Comprehensive Dataflow Compiler for High-Level Synthesis

Puya Amiri, Arsene Perard-Gayot, Richard Membarth, Philipp Slusallek, Roland Leißa, Sebastian Hack

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Tags: Computer science, Computer vision, FPGA, HLS, Image processing, OpenCL

November 21, 2021 by hgpu

Performance Optimisations for Heterogeneous Managed Runtime Systems

Michail Papadimitriou

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Tags: Computer science, FPGA, Heterogeneous systems, Java, nVidia, nVidia GeForce GTX 1650, OpenCL, Performance, Thesis

November 14, 2021 by hgpu

Optimizing a Hardware Network Stack to Realize an In-Network ML Inference Application

Marco Hartmann, Lukas Weber, Johannes Wirth, Lukas Sommer, Andreas Koch

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Tags: Computer science, FPGA, Machine learning, Performance

November 7, 2021 by hgpu

Accelerating LBM on a Tightly-Coupled Field Programmable Gate Array

Mateo Vázquez Maceiras

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Tags: cfd, Fluid dynamics, FPGA, HLS, Lattice Boltzmann model, OpenCL, Thesis

October 17, 2021 by hgpu

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

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

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

Intel oneAPI DPC++ FPGA Optimization Guide

Intel Corporation

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Tags: Computer science, FPGA, Optimization, SYCL, Whitepaper

October 3, 2021 by hgpu

Performance Portability and Evaluation of Heterogeneous Components of SeisSol Targeted to Upcoming Intel HPC GPUs

Ludwig Kratzl

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, Intel, Intel UHD 630, MPI, nVidia, nVidia GeForce RTX 3090, OpenCL, Package, performance portability, SYCL, Thesis

August 29, 2021 by hgpu

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

Analysis and Comparison of Performance and Power Consumption of Neural Networks on CPU, GPU, TPU and FPGA

Concurrency Mapping to FPGAs with OpenCL: A Case Study with a Shallow Water Kernel

Programming Heterogeneous Systems with General and Domain-Specific Frameworks

FLOWER: A Comprehensive Dataflow Compiler for High-Level Synthesis

Performance Optimisations for Heterogeneous Managed Runtime Systems

Optimizing a Hardware Network Stack to Realize an In-Network ML Inference Application

Accelerating LBM on a Tightly-Coupled Field Programmable Gate Array

Artificial Intelligence in Electric Machine Drives: Advances and Trends

GCN Inference Acceleration using High-Level Synthesis

HLS Portability from Intel to Xilinx: A Case Study

Intel oneAPI DPC++ FPGA Optimization Guide

Performance Portability and Evaluation of Heterogeneous Components of SeisSol Targeted to Upcoming Intel HPC GPUs

Recent source codes

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

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