high performance computing on graphics processing units: hgpu.org

hgpu.org » Embedded high-performance computing

Integrated Framework for Heterogeneous Embedded Platforms Using OpenCL

Kulin V. Seth

View

Tags: Benchmarking, Computer science, DSP, Embedded high-performance computing, Heterogeneous systems, OpenCL, Optimization, Thesis

September 23, 2011 by hgpu

Mathematical limits of parallel computation for embedded systems

Jason Loew, Jesse Elwell, Dmitry Ponomarev, Patrick H. Madden

View

Download (PDF)

Tags: Computer science, Embedded high-performance computing, Performance

September 23, 2011 by hgpu

Evaluating the potential of graphics processors for high performance embedded computing

Shuai Mu, Chenxi Wang, Ming Liu, Dongdong Li, Maohua Zhu, Xiaoliang Chen, Xiang Xie, Yangdong Deng

Tags: ASIC, Benchmarking, Computer science, DSP, Embedded high-performance computing

May 30, 2011 by hgpu

Synthesis of Platform Architectures from OpenCL Programs

Muhsen Owaida, Nikolaos Bellas, Konstantis Daloukas, Christos D. Antonopoulos

View

Download (PDF)

Tags: Code generation, Compilers, Computer science, Electronic design automation, Embedded high-performance computing, FPGA, Heterogeneous systems, OpenCL

May 21, 2011 by hgpu

A first look at integrated GPUs for green high-performance computing

T. Scogland, H. Lin, W. Feng

Tags: Computer science, Embedded high-performance computing, Energy-efficient computing, Green, Performance

November 2, 2010 by hgpu

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

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

* * *

high performance computing on graphics processing units: hgpu.org

Integrated Framework for Heterogeneous Embedded Platforms Using OpenCL

Mathematical limits of parallel computation for embedded systems

Evaluating the potential of graphics processors for high performance embedded computing

Synthesis of Platform Architectures from OpenCL Programs

A first look at integrated GPUs for green high-performance computing

Recent source codes

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

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

Most viewed papers (last 30 days)