high performance computing on graphics processing units: hgpu.org

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Solving the Vlasov equation for one-dimensional models with long range interactions on a GPU

Tarcisio M. Rocha Filho

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 590, Physics, Statistical Mechanics

June 18, 2012 by hgpu

Parallel Parametric Optimisation with Firefly Algorithms on Graphical Processing Units

A.V. Husselmann, K.A. Hawick

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Optimization

May 26, 2012 by hgpu

Spatial Data Structures, Sorting and GPU Parallelism for Situated-agent Simulation and Visualisation

A.V. Husselmann, K.A. Hawick

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Tags: Computer science, CUDA, Data parallelism, N-body simulation, nVidia, nVidia GeForce GTX 590, Sorting

May 20, 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

GPU Accelerated Molecular Surface Computing

Byungjoo Kim, Ku-Jin Kim, Joon-Kyung Seong

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Tags: Biochemistry, Chemistry, CUDA, KD-tree, Molecular surface, nVidia, nVidia GeForce GTX 590

February 26, 2012 by hgpu

Graduate Operating Systems: Project Report

James Sweet

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Tags: AES, ATI, ATI Radeon HD 6750 M, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 590, OpenCL, Operating systems, Security, Tesla M2070

January 7, 2012 by hgpu

Accelerating Multi-Scale Flows for LDDKBM Diffeomorphic Registration

Stefan Sommer

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Tags: Algorithms, CUDA, Image processing, Image registration, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 590, OpenCL

November 3, 2011 by hgpu

nVidia GeForce GTX 590

Tags: nVidia, nVidia GeForce 5xx, nVidia GeForce GTX 590

May 19, 2011 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

Solving the Vlasov equation for one-dimensional models with long range interactions on a GPU

Parallel Parametric Optimisation with Firefly Algorithms on Graphical Processing Units

Spatial Data Structures, Sorting and GPU Parallelism for Situated-agent Simulation and Visualisation

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

GPU Accelerated Molecular Surface Computing

Graduate Operating Systems: Project Report

Accelerating Multi-Scale Flows for LDDKBM Diffeomorphic Registration

nVidia GeForce GTX 590

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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