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Platform 2012, a Many-Core Computing Accelerator for Embedded SoCs: Performance Evaluation of Visual Analytics Applications

Diego Melpignano, Luca Benini, Eric Flamand, Bruno Jego, Thierry Lepley, Germain Haugou, Fabien Clermidy, Denis Dutoit

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Tags: ARM, Computer science, Computer vision, nVidia, nVidia GeForce GTX 280, OpenCL, Performance

June 4, 2012 by hgpu

Tuning a Finite Difference Computation for Parallel Vector Processors

Gerhard Zumbusch

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Tags: Algorithms, Computer science, Finite difference, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenCL, Performance

May 24, 2012 by hgpu

GMProf: A Low-Overhead, Fine-Grained Profiling Approach for GPU Programs

Mai Zheng, Vignesh T. Ravi, Wenjing Ma, Feng Qin, Gagan Agrawal

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Tags: Computer science, CUDA, nVidia, Optimization, Performance, Tesla C1060

May 23, 2012 by hgpu

CAPRI: Prediction of Compaction-Adequacy for Handling Control-Divergence in GPGPU Architectures

Minsoo Rhu, Mattan Erez

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Performance, Programming techniques

May 11, 2012 by hgpu

Exploration of Optimization Options for Increasing Performance of a GPU Implementation of a Three-Dimensional Bilateral Filter

E. Wes Bethel

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Tags: Algorithms, CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 280, Optimization, Performance

May 9, 2012 by hgpu

iGPU: Exception Support and Speculative Execution on GPUs

Jaikrishnan Menon, Marc de Kruijf, Karthikeyan Sankaralingam

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Tags: ATI, ATI Radeon HD 6550, Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Performance, Programming techniques

May 7, 2012 by hgpu

Comparison of OpenMP and OpenCL Parallel Processing Technologies

Krishnahari Thouti, S.R.Sathe

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Tags: Algorithms, Benchmarking, Computer science, nVidia, nVidia Quadro FX 3800, OpenCL, OpenMP, Operating systems, Performance

May 6, 2012 by hgpu

Efficient Intranode Communication in GPU-Accelerated Systems

Feng Ji, Ashwin M. Aji, James Dinan, Darius Buntinas, Pavan Balaji, Wu-chun Feng, Xiaosong Ma

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Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, Performance, Tesla M2070

May 4, 2012 by hgpu

A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark

Jiri Jaros, Petr Pospichal

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Source codes

Tags: Algorithms, Benchmarking, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 580, Package, Performance

May 2, 2012 by hgpu

Dynamic Kernel/Device Mapping Strategies for GPU-assisted HPC Systems

Jiadong Wu, Weiming Shi, Bo Hong

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Tags: Computer science, CUDA, nVidia, Performance

May 2, 2012 by hgpu

Characterizing and Improving the Use of Demand-Fetched Caches in GPUs

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Optimization, Performance, Tesla C2070

April 28, 2012 by hgpu

An Efficient Work-Distribution Strategy for Gridding Radio-Telescope Data on GPUs

John W. Romein

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Tags: Astrophysics, ATI, ATI Radeon HD 7970, CUDA, nVidia, nVidia GeForce GTX 680, OpenCL, Performance

April 25, 2012 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 2012, a Many-Core Computing Accelerator for Embedded SoCs: Performance Evaluation of Visual Analytics Applications

Tuning a Finite Difference Computation for Parallel Vector Processors

GMProf: A Low-Overhead, Fine-Grained Profiling Approach for GPU Programs

CAPRI: Prediction of Compaction-Adequacy for Handling Control-Divergence in GPGPU Architectures

Exploration of Optimization Options for Increasing Performance of a GPU Implementation of a Three-Dimensional Bilateral Filter

iGPU: Exception Support and Speculative Execution on GPUs

Comparison of OpenMP and OpenCL Parallel Processing Technologies

Efficient Intranode Communication in GPU-Accelerated Systems

A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark

Dynamic Kernel/Device Mapping Strategies for GPU-assisted HPC Systems

Characterizing and Improving the Use of Demand-Fetched Caches in GPUs

An Efficient Work-Distribution Strategy for Gridding Radio-Telescope Data on GPUs

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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