high performance computing on graphics processing units: hgpu.org

hgpu.org » Performance

Extending a C-like Language for Portable SIMD Programming

Roland Leissa, Sebastian Hack, Ingo Wald

View

Download (PDF)

Tags: Compilers, Computer science, High-level Languages, Intel, Performance

January 4, 2012 by hgpu

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

Mayank Daga, Thomas Scogland, Wu-chun Feng

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Molecular modeling, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Performance

January 3, 2012 by hgpu

Process Time Comparison between GPU and CPU

Abhranil Das

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Performance, Tesla C870

January 2, 2012 by hgpu

Engineering Concurrent Software Guided by Statistical Performance Analysis

Clemens Grelck, Kevin Hammond, Heinz Hertlein, Philip Holzenspies, Chris Jesshope, Raimund Kirner, Bernd Scheuermann, Alex Shafarenko, Iraneus Te Boekhorst, Volkmar Wieser

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 425 M, Performance, Visualization

December 29, 2011 by hgpu

Monitoring Multiple Streams with Dynamic Time Warping using Graphic Processors

Jason Chang, Mi-Yen Yeh

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, Performance, Tesla C1060

December 28, 2011 by hgpu

Efficient parallel lists intersection and index compression algorithms using graphics processing units

Naiyong Ao, Fan Zhang, Di Wu, Douglas S. Stones, Gang Wang, Xiaoguang Liu, Jing Liu, Sheng Lin

View

Download (PDF)

Tags: Algorithms, Compression, Computer science, CUDA, Information Retrieval, nVidia, nVidia GeForce GTX 480, Performance

December 28, 2011 by hgpu

Sparse matrix-vector multiplication on GPGPU clusters: A new storage format and a scalable implementation

Moritz Kreutzer, Georg Hager, Gerhard Wellein, Holger Fehske, Achim Basermann, Alan R. Bishop

View

Download (PDF)

Tags: Computer science, GPU cluster, nVidia, Performance, Sparse matrix, Tesla C2050, Tesla C2070

December 26, 2011 by hgpu

Modeling Parallel Programs for Heterogeneous Computing

Ferosh Jacob

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance

December 25, 2011 by hgpu

Beyond Amdahl’s Law: An Objective Function That Links Multiprocessor Performance Gains To Delay and Energy

Andrew S. Cassidy, Andreas G. Andreou

View

Download (PDF)

Tags: Computer science, Performance

December 22, 2011 by hgpu

Implementation of a Parallel Tree Method on a GPU

Naohito Nakasato

View

Download (PDF)

Tags: Astrophysics, ATI, ATI IL, ATI Radeon HD 5870, Computational Complexity, Computer science, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, KD-tree, OpenCL, Optimization, Performance

December 21, 2011 by hgpu

Analysis of GPGPU Platforms Efficiency in General-Purpose Computations

Pavel Kartashev, Vladislavs Nazaruk

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5750, Benchmarking, Computer science, nVidia, nVidia GeForce GT 240, OpenCL, Performance

December 20, 2011 by hgpu

The Future in Mobile Multicore Computing

Blake Hurd, Chiu C. Tan, Jie Wu

View

Download (PDF)

Tags: Computer science, Hardware Architecture, Performance

December 20, 2011 by hgpu

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

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

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

* * *

high performance computing on graphics processing units: hgpu.org

Extending a C-like Language for Portable SIMD Programming

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

Process Time Comparison between GPU and CPU

Engineering Concurrent Software Guided by Statistical Performance Analysis

Monitoring Multiple Streams with Dynamic Time Warping using Graphic Processors

Efficient parallel lists intersection and index compression algorithms using graphics processing units

Sparse matrix-vector multiplication on GPGPU clusters: A new storage format and a scalable implementation

Modeling Parallel Programs for Heterogeneous Computing

Beyond Amdahl’s Law: An Objective Function That Links Multiprocessor Performance Gains To Delay and Energy

Implementation of a Parallel Tree Method on a GPU

Analysis of GPGPU Platforms Efficiency in General-Purpose Computations

The Future in Mobile Multicore Computing

Recent source codes

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

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Most viewed papers (last 30 days)