high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

OpenCL framework for a CPU, GPU, and FPGA Platform

Taneem Ahmed

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Tags: ATI, ATI Radeon HD 5450, Computer science, FPGA, Heterogeneous systems, OpenCL, Thesis

April 6, 2012 by hgpu

Enhancing Performance of Simulations using GPGPU

Shadi Alawneh, Dennis Peters

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

April 5, 2012 by hgpu

Towards Adaptive GPU Resource Management for Embedded Real-Time Systems

Junsung Kim, Raj Rajkumar, Shinpei Kato

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia

April 2, 2012 by hgpu

GPU Programming Strategies and Trends in GPU Computing

Andre R. Brodtkorb, Trond R. Hagen, Martin L. Saetra

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Tags: Computer science, Heterogeneous systems, Optimization, Overview

April 2, 2012 by hgpu

Enabling and Scaling Matrix Computations on Heterogeneous Multi-Core and Multi-GPU Systems

Fengguang Song, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Heterogeneous systems, nVidia, Tesla M2070

March 28, 2012 by hgpu

Dynamic Translation of Runtime Environments for Heterogeneous Computing

Rodrigo Dominguez

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Design space exploration, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Thesis

March 27, 2012 by hgpu

Full system simulation of many-core heterogeneous SoCs using GPU and QEMU semihosting

Shivani Raghav, Christian Pinto, Martino Ruggiero, Andrea Marongiu, David Atienza, Luca Benini

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Operating systems, Software Engineering, Tesla C2070

March 26, 2012 by hgpu

Impact of asynchronism on GPU accelerated parallel iterative computations

Sylvain Contassot-Vivier, Thomas Jost, Stephane Vialle

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285, Partial differential equations, PDEs, Performance

March 22, 2012 by hgpu

Hierarchical N-body simulations with auto-tuning for heterogeneous systems

Rio Yokota, Lorena A. Barba

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Tags: Algorithms, CUDA, Heterogeneous systems, Mathematical Software, N-body simulation, Numerical Analysis, nVidia, nVidia GeForce GTX 590, Physics, Tesla C2050

March 22, 2012 by hgpu

Parallel Two-Stage Least Squares algorithms for Simultaneous Equations Models on GPU

Carla Ramiro Sanchez, Jose J. Lopez-Espin, Domingo Gimenez, Antonio M. Vidal

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C2070

March 21, 2012 by hgpu

CPU-GPU Hybrid Parallel Binomial American Option Pricing

Nan Zhang, Eng Gee Lim, Ka Lok Man, Chi-Un Lei

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Tags: Algorithms, CUDA, Finance, Heterogeneous systems, Hybrid computing, nVidia, nVidia Quadro NVS 160 M

March 21, 2012 by hgpu

Targeting heterogeneous architectures via macro data flow

M. Aldinucci, M. Danelutto, P. Kilpatrick, M. Torquati

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, Tesla C2050

March 13, 2012 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

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high performance computing on graphics processing units: hgpu.org

OpenCL framework for a CPU, GPU, and FPGA Platform

Enhancing Performance of Simulations using GPGPU

Towards Adaptive GPU Resource Management for Embedded Real-Time Systems

GPU Programming Strategies and Trends in GPU Computing

Enabling and Scaling Matrix Computations on Heterogeneous Multi-Core and Multi-GPU Systems

Dynamic Translation of Runtime Environments for Heterogeneous Computing

Full system simulation of many-core heterogeneous SoCs using GPU and QEMU semihosting

Impact of asynchronism on GPU accelerated parallel iterative computations

Hierarchical N-body simulations with auto-tuning for heterogeneous systems

Parallel Two-Stage Least Squares algorithms for Simultaneous Equations Models on GPU

CPU-GPU Hybrid Parallel Binomial American Option Pricing

Targeting heterogeneous architectures via macro data flow

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

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