high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

Software architecture and system validation of an open, unified model for accelerated multicore computing

C. H. Crawford, D. J. Burdick, J. N. Dale, E. F. Ford, R. A. Mikosh, A. Nobles, V. To

Tags: Computer science, Heterogeneous systems, OpenCL

August 21, 2011 by hgpu

A new method for GPU based irregular reductions and its application to k-means clustering

Balaji Dhanasekaran, Norman Rubin

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, Data mining, Heterogeneous systems, OpenCL, Performance, Programming techniques

August 21, 2011 by hgpu

A framework for dynamically instrumenting GPU compute applications within GPU Ocelot

Naila Farooqui, Andrew Kerr, Gregory Diamos, S. Yalamanchili, K. Schwan

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Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Programming Languages, PTX

August 19, 2011 by hgpu

A balanced programming model for emerging heterogeneous multicore systems

Wei Liu, Brian Lewis, Xiaocheng Zhou, Hu Chen, Ying Gao, Shoumeng Yan, Sai Luo, Bratin Saha

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Tags: Computer science, Heterogeneous systems, Larrabee, OpenCL, Performance

August 19, 2011 by hgpu

Energy-aware metrics for benchmarking heterogeneous systems

Simon McIntosh-Smith, Terry Wilson, Jon Crisp, Amaurys Avila Ibarra, Richard B. Sessions

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Tags: Benchmarking, Computer science, Energy-efficient computing, Heterogeneous systems, Molecular modeling, nVidia, nVidia GeForce GTX 280, OpenCL, Tesla C2050

August 18, 2011 by hgpu

Maestro: Data Orchestration and Tuning for OpenCL Devices

Kyle Spafford, Jeremy Meredith, Jeffrey Vetter

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Tags: ATI, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Performance, Tesla C1060, Tesla S1070

August 18, 2011 by hgpu

Analyzing program flow within a many-kernel OpenCL application

Perhaad Mistry, Chris Gregg, Norman Rubin, David Kaeli, Kim Hazelwood

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Tags: ATI, ATI Radeon HD 5870, Computer science, Computer vision, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Performance

August 18, 2011 by hgpu

A novel FPGA-based SVM classifier

Markos Papadonikolakis, Christos-Savvas Bouganis

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Tags: Computational Complexity, Computer science, FPGA, Heterogeneous systems

August 15, 2011 by hgpu

THOR: A Transparent Heterogeneous Open Resource framework

J.L. Vazquez-Poletti, J. Perhac, J. Ryan, A.C. Elster

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Tags: Algorithms, Benchmarking, Cloud, Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 470, OpenCL, Tesla S1070

August 10, 2011 by hgpu

Mapping of a film grain removal algorithm to a heterogeneous reconfigurable architecture

Sean Whitty, Henning Sahlbach, Rolf Ernst, Wolfram Putzke-Roming

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Tags: Algorithms, FPGA, Heterogeneous systems, Image processing

August 1, 2011 by hgpu

Dynamic Self-Rescheduling of Tasks over a Heterogeneous Platform

A.P.D. Binotto, E.P. Freitas, M. Gotz, C.E. Pereira, A. Stork, T. Larsson

Tags: Algorithms, Computer science, Heterogeneous systems, Image processing, Task scheduling

July 29, 2011 by hgpu

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

Alecio P.D. Binotto, Bernardo M.V. Pedras, Marcelo Goetz, Arjan Kuijper, Carlos E. Pereira, Andre Stork, Dieter W. Fellner

Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Task scheduling

July 27, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Software architecture and system validation of an open, unified model for accelerated multicore computing

A new method for GPU based irregular reductions and its application to k-means clustering

A framework for dynamically instrumenting GPU compute applications within GPU Ocelot

A balanced programming model for emerging heterogeneous multicore systems

Energy-aware metrics for benchmarking heterogeneous systems

Maestro: Data Orchestration and Tuning for OpenCL Devices

Analyzing program flow within a many-kernel OpenCL application

A novel FPGA-based SVM classifier

Mapping of a film grain removal algorithm to a heterogeneous reconfigurable architecture

Dynamic Self-Rescheduling of Tasks over a Heterogeneous Platform

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

Recent source codes

PELSI: Power-Efficient Layer-Switched Inference

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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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