high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

C-DAC’s Efforts – Application Kernels on HPC Cluster with GPU Accelerators

VCV.Rao, Nisha Agrawa, Samrit Maity

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Tags: AMD FirePro V5900, AMD FirePro V7900, AMD FireStream 9350, ATI, Computer science, CUDA, Differential equations, FEM, Finite difference, Finite element method, GPU cluster, Heterogeneous systems, Linear Algebra, MPI, nVidia, OpenCL, Partial differential equations, PDEs, Tesla C2060

May 19, 2012 by hgpu

Programming and Scheduling Model for Supporting Heterogeneous Accelerators in Linux

Tobias Beisel, Tobias Wiersema, Christian Plessl, Andre Brinkmann

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Operating systems, Package, Task scheduling

May 19, 2012 by hgpu

A Heterogeneous Accelerated Matrix Multiplication: OpenCL + APU + GPU+ Fast Matrix Multiply

Paolo D'Alberto

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Tags: ATI, ATI Radeon HD 6550, ATI Radeon HD 6750, Computer science, Heterogeneous systems, Mathematical Software, Matrix multiplication, OpenCL

May 16, 2012 by hgpu

Mapping a Data-Flow Programming Model onto Heterogeneous Platforms

Alina Sbirlea, Yi Zou, Zoran Budimlic, Jason Cong, Vivek Sarkar

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Tags: Algorithms, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Programming techniques, Tesla C1060

May 14, 2012 by hgpu

Heterogeneous Computing in Economics: a Simplified Approach

Matt P. Dziubinski, Stefano Grassi

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Tags: CUDA, Data parallelism, Finance, Heterogeneous systems, nVidia, nVidia GeForce GT 520 M, nVidia GeForce GTS 450, Optimization

May 14, 2012 by hgpu

Scalable Distributed Fast Multipole Methods

Qi Hu, Nail A. Gumerov, Ramani Duraiswami

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, Heterogeneous systems, Numerical simulation, nVidia, Tesla C2050

May 12, 2012 by hgpu

Radiation Modeling Using the Uintah Heterogeneous CPU/GPU Runtime System

Alan Humphrey, Qingyu Meng, Martin Berzins, Todd Harman

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Tags: CUDA, Fluid dynamics, GPU cluster, Heterogeneous systems, MPI, nVidia, Partial differential equations, Pthreads, Task scheduling, Tesla M2090

May 11, 2012 by hgpu

Large scale parallel state space search utilizing graphics processing units and solid state disks

Damian Sulewski

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, Probabilistic model checking, Search strategies, Thesis

May 11, 2012 by hgpu

An Overview of Selected Hybrid and Reconfigurable Architectures

Sasa Stojanovic, Dragan Bojic, Miroslav Bojovic, Mateo Valero, Veljko Milutinovic

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Tags: ATI, ATI Radeon HD 5870, Cell processor, Computer science, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, OpenCL, Review

May 9, 2012 by hgpu

Enabling task-level scheduling on heterogeneous platforms

Enqiang Sun, Dana Schaa, Richard Bagley, Norman Rubin, David Kaeli

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Tags: ATI, ATI FirePro V9800, ATI Radeon HD 6970, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL, Task scheduling

May 9, 2012 by hgpu

One Stone Two Birds: Synchronization Relaxation and Redundancy Removal in GPU-CPU Translation

Ziyu Guo, Bo Wu, Xipeng Shen

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Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Pattern recognition

May 6, 2012 by hgpu

Heterogeneous Task Scheduling for Accelerated OpenMP

Thomas R. W. Scogland, Barry Rountree, Wu-chun Feng, Bronis R. de Supinski

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenMP, Task scheduling, Tesla C2050

May 4, 2012 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

C-DAC’s Efforts – Application Kernels on HPC Cluster with GPU Accelerators

Programming and Scheduling Model for Supporting Heterogeneous Accelerators in Linux

A Heterogeneous Accelerated Matrix Multiplication: OpenCL + APU + GPU+ Fast Matrix Multiply

Mapping a Data-Flow Programming Model onto Heterogeneous Platforms

Heterogeneous Computing in Economics: a Simplified Approach

Scalable Distributed Fast Multipole Methods

Radiation Modeling Using the Uintah Heterogeneous CPU/GPU Runtime System

Large scale parallel state space search utilizing graphics processing units and solid state disks

An Overview of Selected Hybrid and Reconfigurable Architectures

Enabling task-level scheduling on heterogeneous platforms

One Stone Two Birds: Synchronization Relaxation and Redundancy Removal in GPU-CPU Translation

Heterogeneous Task Scheduling for Accelerated OpenMP

Recent source codes

tdg-benchs: benchmarks used to test the performance of taskgraph

SW#SYCL

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

HiRep

Gaia AVU-GSR

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

Most viewed papers (last 30 days)