high performance computing on graphics processing units: hgpu.org

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Platform Characterization for Domain-Specific Computing

Alex Bui, Kwang-Ting (Tim) Cheng, Jason Cong, Luminita Vese, Yi-Chu Wang, Bo Yuan, Yi Zou

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Tesla C1060

January 19, 2012 by hgpu

Power Profiling and Optimization for Heterogeneous Multi-Core Systems

Kuen Hung Tsoi, Wayne Luk

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Tags: Computer science, CUDA, Design space exploration, Energy-efficient computing, FPGA, Heterogeneous systems, N-body simulation, nVidia, Optimization, Tesla C1060

January 19, 2012 by hgpu

The ‘Chimera’: an off-the-shelf CPU/GPGPU/FPGA hybrid computing platform

Ra Inta, David J. Bowman, Susan M. Scott

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, Hybrid computing, nVidia, Tesla C2070

January 18, 2012 by hgpu

FPGA Based Acceleration of Decimal Operations

Alberto Nannarelli

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Tags: Computer science, Finance, FPGA, Performance

January 16, 2012 by hgpu

Spectral Method Characterization on FPGA and GPU Accelerators

Karl Pereira, Peter Athanas, Heshan Lin, Wu Feng

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Tags: Computer science, CUDA, DSP, FFT, FPGA, nVidia, nVidia GeForce GTX 280, Performance, Tesla C2050

January 15, 2012 by hgpu

An FPGA-based processing pipeline for high definition stereo video

Pierre Greisen, Simon Heinzle, Markus Gross, Andreas Peter Burg

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Tags: Algorithms, CUDA, FPGA, Image processing, nVidia, nVidia GeForce GTX 480, Stereo vision

January 13, 2012 by hgpu

Building Source-to-Source Compilers for Heterogeneous Targets

Serge Guelton

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Tags: Code generation, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia Quadro FX 2700 M, Thesis

January 4, 2012 by hgpu

A Scalable Framework for Monte Carlo Simulation Using FPGA-based Hardware Accelerators with Application to SPECT Imaging

Phillip J. Kinsman

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Tags: Algorithms, Computed tomography, CT, CUDA, FPGA, Image reconstruction, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce GTX 470, Thesis, Tomography

January 3, 2012 by hgpu

Turbo Bayesian Compressed Sensing

Depeng Yang

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Tags: Algorithms, Bayesian, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 480, Sensing, Signal processing

December 25, 2011 by hgpu

Floating-point Mixed-radix FFT Core Generation for FPGA and Comparison with GPU and CPU

Bo Duan, Wendi Wang, Xingjian Li, Chunming Zhang, Peiheng Zhang, Ninghui Sun

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Tags: Algorithms, Computer science, CUDA, FFT, FPGA, nVidia, nVidia GeForce GTX 480, Optimization, Performance

December 20, 2011 by hgpu

3D Recursive Gaussian IIR on GPU and FPGAs: A Case Study for Accelerating Bandwidth-Bounded Applications

Jason Cong, Muhuan Huang, Yi Zou

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Tags: CUDA, FPGA, Image processing, nVidia, Optimization, Tesla C1060

December 19, 2011 by hgpu

Towards Automatic C Programs Optimization and Parallelization using the PIPS-PoCC Integration

Dounia Khaldi, Corinne Ancourt, Francois Irigoin

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Source codes

Tags: Benchmarking, Code generation, Computer science, CUDA, FPGA, Heterogeneous systems, MPI, nVidia, OpenMP, Optimization, Package

December 19, 2011 by hgpu

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

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

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high performance computing on graphics processing units: hgpu.org

Platform Characterization for Domain-Specific Computing

Power Profiling and Optimization for Heterogeneous Multi-Core Systems

The ‘Chimera’: an off-the-shelf CPU/GPGPU/FPGA hybrid computing platform

FPGA Based Acceleration of Decimal Operations

Spectral Method Characterization on FPGA and GPU Accelerators

An FPGA-based processing pipeline for high definition stereo video

Building Source-to-Source Compilers for Heterogeneous Targets

A Scalable Framework for Monte Carlo Simulation Using FPGA-based Hardware Accelerators with Application to SPECT Imaging

Turbo Bayesian Compressed Sensing

Floating-point Mixed-radix FFT Core Generation for FPGA and Comparison with GPU and CPU

3D Recursive Gaussian IIR on GPU and FPGAs: A Case Study for Accelerating Bandwidth-Bounded Applications

Towards Automatic C Programs Optimization and Parallelization using the PIPS-PoCC Integration

Recent source codes

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

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

DuoReduce: MLIR's benchmark

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