high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

High-Performance Distributed Multi-Model / Multi-Kernel Simulations: A Case-Study in Jungle Computing

Niels Drost, Jason Maassen, Maarten A.J. van Meersbergen, Henri E. Bal, F. Inti Pelupessy, Simon Portegies Zwart, Michael Kliphuis, Henk A. Dijkstra, Frank J. Seinstra

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Tags: Astrophysics, Cloud, Computer science, CUDA, Earth and Space Sciences, Heterogeneous systems, nVidia, Physics, Solar and Stellar Astrophysics, Tesla C2050

March 6, 2012 by hgpu

Benchmarking Next Generation Hardware Platforms: An Experimental Approach

Vishakha Gupta, Adit Ranadive, Ada Gavrilovska, Karsten Schwan

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Tags: Benchmarking, CUDA, Finance, Heterogeneous systems, Image processing, nVidia, nVidia GeForce 8800 GTX

March 1, 2012 by hgpu

Cooperative Heterogeneous Computing for Parallel Processing on CPU/GPU Hybrids

Changmin Lee, Won W. Ro, Jean-Luc Gaudiot

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 9400 GT

February 26, 2012 by hgpu

Power-Efficient Time-Sensitive Mapping in Heterogeneous Systems

Cong Liu, Jian Li, Wei Huang, Juan Rubio, Evan Speight, Xiaozhu Lin

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Tags: ATI, ATI Radeon HD 5770, Computer science, Energy-efficient computing, Heterogeneous systems, OpenCL

February 26, 2012 by hgpu

Collision Detection of Triangle Meshes using GPU

Nils Backman

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Tags: Collision detection, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTS, OpenCL, Thesis

February 24, 2012 by hgpu

Efficient Data Management for GPU Databases

Peter Bakkum, Srimat Chakradhar

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Tags: Computer science, CUDA, Databases, Heterogeneous systems, nVidia, nVidia GeForce GTX 570, Package

February 21, 2012 by hgpu

A Code Optimization Framework for Performance Portability of GPU Kernels onto Custom Accelerators

Alexandros Papakonstantinou, Deming Chen, Wen-mei Hwu

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Optimization

February 20, 2012 by hgpu

LAMMPScuda – a new GPU accelerated Molecular Dynamics Simulations Package and its Application to Ion-Conducting Glasses

Christian Robert Trott

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Tags: Biology, Computational Physics, CUDA, Heterogeneous systems, Molecular dynamics, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, Package, Physics, Polymer Systems, Tesla C1060, Thesis

February 13, 2012 by hgpu

Characterizing and Evaluating a Key-value Store Application on Heterogeneous CPU-GPU Systems

Tayler H. Hetherington, Timothy G. Rogers, Lisa Hsu, Mike O'Connor, Tor M. Aamodt

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6310, ATI Radeon HD 6550, Computer science, Databases, Heterogeneous systems, OpenCL

February 11, 2012 by hgpu

Implementing Molecular Dynamics on Hybrid High Performance Computers – Particle-Particle Particle-Mesh

W. Michael Brown, Axel Kohlmeyer, Steven J. Plimpton, Arnold N. Tharrington

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Tags: Algorithms, Chemistry, CUDA, Electrostatics, GPU cluster, Heterogeneous systems, Molecular dynamics, nVidia, OpenCL, OpenMPI, Package, Physics, Tesla M2070

February 10, 2012 by hgpu

Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general purpose computing on graphics processing units

Jun Igarashi, Osamu Shouno, Tomoki Fukai, Hiroshi Tsujino

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Tags: Computer science, CUDA, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTX 280, Visualization

February 9, 2012 by hgpu

Auto-Generation and Auto-Tuning of 3D Stencil Codes on GPU Clusters

Yongpeng Zhang, Frank Mueller

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, Nearest neighbour, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization, Tesla C1060, Tesla C2050

February 8, 2012 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Benchmarking Next Generation Hardware Platforms: An Experimental Approach

Cooperative Heterogeneous Computing for Parallel Processing on CPU/GPU Hybrids

Power-Efficient Time-Sensitive Mapping in Heterogeneous Systems

Collision Detection of Triangle Meshes using GPU

Efficient Data Management for GPU Databases

A Code Optimization Framework for Performance Portability of GPU Kernels onto Custom Accelerators

LAMMPScuda – a new GPU accelerated Molecular Dynamics Simulations Package and its Application to Ion-Conducting Glasses

Characterizing and Evaluating a Key-value Store Application on Heterogeneous CPU-GPU Systems

Implementing Molecular Dynamics on Hybrid High Performance Computers – Particle-Particle Particle-Mesh

Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general purpose computing on graphics processing units

Auto-Generation and Auto-Tuning of 3D Stencil Codes on GPU Clusters

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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