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Auto-Tunning of Data Communication on Heterogeneous Systems

Marc Jorda, Ivan Tanasic, Javier Cabezas, Lluis Vilanova, Isaac Gelado, Nacho Navarro

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Tesla C2050, Tesla C2070, Tesla M2090

June 17, 2013 by hgpu

Parallelizing General Histogram Application for CUDA Architectures

Ugljesa Milic, Isaac Gelado, Nikola Puzovic, Alex Ramirez, Milo Tomasevic

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Tags: Algorithms, CUDA, Image processing, nVidia, Search strategies, Tesla C2070, Tesla K20

June 17, 2013 by hgpu

GPU-Optimized Hybrid Neighbor/Cell List Algorithm for Coarse-Grained Molecular Dynamics Simulations

Andrew J. Proctor

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Tags: Algorithms, Biomolecules, Computer science, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Tesla C2070, Thesis

June 16, 2013 by hgpu

Parallelization & checkpointing of GPU applications through program transformation

Lizandro Damian Solano-Quinde

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Tags: Computer science, nVidia, OpenCL, Programming techniques, Tesla C2070, Tesla T10, Thesis

June 6, 2013 by hgpu

Automating elimination of idle functions by run-time reconfiguration

Xinyu Niu, Thomas C. P. Chau, Qiwei Jin, Wayne Luk, Qiang Liu

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Tags: Computer science, CUDA, FPGA, nVidia, Performance, Tesla C2070

June 6, 2013 by hgpu

Efficient Execution of AMR Computations on GPU Systems

Hari K. Raghavan

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Tags: Computer science, CUDA, Finite difference, Numerical simulation, nVidia, Tesla C2070, Tesla S1070, Thesis, Visualization

June 4, 2013 by hgpu

GPU-accelerated generation of correctly-rounded elementary functions

Pierre Fortin, Mourad Gouicem, Stef Graillat

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Tags: Algorithms, Computer science, CUDA, Elementary functions, nVidia, Tesla C2070

June 2, 2013 by hgpu

Performance Tradeoff Spectrum of Integer and Floating Point Applications

M.G.B. Johnson, D. P. Playne, K.A. Hawick

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 590, nVidia GeForce GTX 680, Performance, Tesla C2050, Tesla C2070

May 30, 2013 by hgpu

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

Leonardo Jero

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Tags: Algorithms, ATI, ATI Radeon HD 6850, Computer science, nVidia, nVidia GeForce GT 640, OpenCL, Security, Tesla C2050, Tesla C2070, Thesis

May 28, 2013 by hgpu

Solving Linear Equations with Conjugate Gradient Method on OpenCL Platforms

Caner Sayin

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Tags: Computer science, Heterogeneous systems, Linear Algebra, nVidia, OpenCL, Sparse matrix, Tesla C2050, Tesla C2070, Thesis

May 20, 2013 by hgpu

An implementation of level set based topology optimization using GPU

D. Herrero, J. Martinez, P. Marti

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Tags: Computational Complexity, CUDA, Data parallelism, FEM, Finite element method, Image processing, nVidia, Tesla C2070

May 19, 2013 by hgpu

Extended Data Collection: Analysis of Cache Behavior and Performance of Different BVH Memory Layouts for Tracing Incoherent Rays

Andre Schulz, Sven Widmer, Dominik Wodniok, Michael Goesele

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Raytracing, Tesla C2070, Tesla K20, Visualization

May 16, 2013 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Auto-Tunning of Data Communication on Heterogeneous Systems

Parallelizing General Histogram Application for CUDA Architectures

GPU-Optimized Hybrid Neighbor/Cell List Algorithm for Coarse-Grained Molecular Dynamics Simulations

Parallelization & checkpointing of GPU applications through program transformation

Automating elimination of idle functions by run-time reconfiguration

Efficient Execution of AMR Computations on GPU Systems

GPU-accelerated generation of correctly-rounded elementary functions

Performance Tradeoff Spectrum of Integer and Floating Point Applications

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

Solving Linear Equations with Conjugate Gradient Method on OpenCL Platforms

An implementation of level set based topology optimization using GPU

Extended Data Collection: Analysis of Cache Behavior and Performance of Different BVH Memory Layouts for Tracing Incoherent Rays

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

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