high performance computing on graphics processing units: hgpu.org

hgpu.org » OpenCL

General Purpose Computation on Graphics Processing Units Using OpenCL

Fiaz Gul Khan

View

Tags: Computer science, Electrodynamics, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, nVidia Quadro FX 6000, OpenCL, Sorting, Thesis, Tutorial

March 26, 2013 by hgpu

Improving Performance Portability in OpenCL Programs

Yao Zhang, Mark Sinclair II, Andrew A. Chien

View

Download (PDF)

Tags: APU, ATI, Benchmarking, Computer science, FFT, nVidia, OpenCL, Tesla C2050

March 26, 2013 by hgpu

How to Benefit from AMD, Intel and Nvidia Accelerator Technologies in Scilab

Thibault Person, Francois Bodin

View

Download (PDF)

Source codes

Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, Intel, Intel Phi, nVidia, OpenCL, Package, Performance, Portability, Tesla K20

March 24, 2013 by hgpu

GPGPU Test Suite Minimisation: Search Based Software Engineering Performance Improvement Using Graphics Cards

Shin Yoo, Mark Harman, Shmuel Ur

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 4850, Computer science, Java, OpenCL, Software Engineering

March 21, 2013 by hgpu

Duplicate Detection on GPUs

Benedikt Forchhammer, Thorsten Papenbrock, Thomas Stening, Sven Viehmeier, Uwe Draisbach, Felix Naumann

View

Download (PDF)

Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 570, OpenCL

March 21, 2013 by hgpu

Stream Join Processing on Heterogeneous Processors

Tomas Karnagel, Benjamin Schlegel, Dirk Habich, Wolfgang Lehner

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7660, Computer science, Heterogeneous systems, OpenCL

March 21, 2013 by hgpu

Symbolic Crosschecking of Data-Parallel Floating Point Code

Peter Cyrus Collingbourne

View

Download (PDF)

Source codes

Tags: Algorithms, Compilers, Computer science, nVidia, OpenCL, Package, Tesla C1060, Thesis

March 20, 2013 by hgpu

General Purpose Computing on Low-Power Embedded GPUs: Has It Come of Age?

Arian Maghazeh, Unmesh D. Bordoloi, Petru Eles, Zebo Peng

View

Download (PDF)

Tags: ARM, Computer science, nVidia, OpenCL, Performance, Tesla M2050

March 20, 2013 by hgpu

clMAGMA: High Performance Dense Linear Algebra with OpenCL

Chongxiao Cao, Jack Dongarra, Peng Du, Mark Gates, Piotr Luszczek, Stanimire Tomov

View

Download (PDF)

Source codes

Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Linear Algebra, nVidia, OpenCL, Package, Tesla S2050

March 18, 2013 by hgpu

Accelerating Computer Vision Algorithms Using OpenCL on Mobile GPU – A Case Study

Guohui Wang, Yingen Xiong, Jay Yun, Joseph R. Cavallaro

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, Heterogeneous systems, OpenCL

March 16, 2013 by hgpu

Exploring power efficiency and optimizations targeting heterogeneous applications

Yash Sanjeev Ukidave

View

Download (PDF)

Tags: AMD Fusion, ATI, ATI Radeon HD 7770, Computer science, Energy-efficient computing, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, OpenCL, Thesis

March 16, 2013 by hgpu

Prius: A Runtime for Hybrid Computing

Dominik Grewe

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, Hybrid computing, OpenCL

March 15, 2013 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

General Purpose Computation on Graphics Processing Units Using OpenCL

Improving Performance Portability in OpenCL Programs

How to Benefit from AMD, Intel and Nvidia Accelerator Technologies in Scilab

GPGPU Test Suite Minimisation: Search Based Software Engineering Performance Improvement Using Graphics Cards

Duplicate Detection on GPUs

Stream Join Processing on Heterogeneous Processors

Symbolic Crosschecking of Data-Parallel Floating Point Code

General Purpose Computing on Low-Power Embedded GPUs: Has It Come of Age?

clMAGMA: High Performance Dense Linear Algebra with OpenCL

Accelerating Computer Vision Algorithms Using OpenCL on Mobile GPU – A Case Study

Exploring power efficiency and optimizations targeting heterogeneous applications

Prius: A Runtime for Hybrid Computing

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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

Most viewed papers (last 30 days)