high performance computing on graphics processing units: hgpu.org

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CoreTSAR: Task Scheduling for Accelerator-aware Runtimes

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

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Task scheduling, Tesla C2070

November 22, 2012 by hgpu

Automatic generation of software pipelines for heterogeneous parallel systems

Jacques A. Pienaar, Srimat Chakradhar, Anand Raghunathan

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C1060

November 22, 2012 by hgpu

List Mode PET reconstruction

Balazs Kovacs

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Tags: Computer science, CUDA, nVidia, PET, Tesla C2050

November 22, 2012 by hgpu

Early evaluation of directive-based GPU programming models for productive exascale computing

Seyong Lee, Jeffrey S. Vetter

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Tags: Computer science, CUDA, nVidia, OpenACC, Tesla M2090

November 21, 2012 by hgpu

High-Performance General Solver for Extremely Large-Scale Semidefinite Programming Problems

Katsuki Fujisawa, Hitoshi Sato, Satoshi Matsuoka, Toshio Endo, Makoto Yamashita, Maho Nakata

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, Optimization, Tesla M2050

November 21, 2012 by hgpu

ValuePack: value-based scheduling framework for CPU-GPU clusters

Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat Chakradhar

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Tags: Cloud, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, Tesla C2050

November 21, 2012 by hgpu

An Adaptive Multiresolution Mesh Representation for CPU-GPU Coupled Computation

Andre Maximo, Luiz Velho, Marcelo Siqueira

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 560 Ti, OpenGL, Visualization

November 21, 2012 by hgpu

Pattern Recognition with OpenCL Heterogeneous Platform

Jordan Vrtanoski, Toni Draganov Stojanovski

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, Heterogeneous systems, Neural networks, OpenCL, Pattern recognition

November 21, 2012 by hgpu

Dataflow-driven GPU performance projection for multi-kernel transformations

Jiayuan Meng, Vitali A. Morozov, Venkatram Vishwanath, Kalyan Kumaran

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5600, Performance, Tesla C1060

November 20, 2012 by hgpu

Accelerating MapReduce on a coupled CPU-GPU architecture

Linchuan Chen, Xin Huo, Gagan Agrawal

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Tags: APU, ATI, ATI Radeon HD 6550, Computer science, Data mining, Heterogeneous systems, Machine learning, MapReduce, OpenCL

November 20, 2012 by hgpu

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

Li-Wen Chang, John A. Stratton, Hee-Seok Kim, Wen-Mei W. Hwu

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Source codes

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 480, Package, Tesla M2070

November 20, 2012 by hgpu

MPC Toolbox with GPU Accelerated Optimization Algorithms

Nicolai Fog Gade-Nielsen, John Bagterp Jorgensen, Bernd Dammann

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla C2050

November 20, 2012 by hgpu

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

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

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

Unified schemes for directive-based GPU offloading

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

See all packages

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high performance computing on graphics processing units: hgpu.org

CoreTSAR: Task Scheduling for Accelerator-aware Runtimes

Automatic generation of software pipelines for heterogeneous parallel systems

List Mode PET reconstruction

Early evaluation of directive-based GPU programming models for productive exascale computing

High-Performance General Solver for Extremely Large-Scale Semidefinite Programming Problems

An Adaptive Multiresolution Mesh Representation for CPU-GPU Coupled Computation

Pattern Recognition with OpenCL Heterogeneous Platform

Dataflow-driven GPU performance projection for multi-kernel transformations

Accelerating MapReduce on a coupled CPU-GPU architecture

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

MPC Toolbox with GPU Accelerated Optimization Algorithms

Recent source codes

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

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

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

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