high performance computing on graphics processing units: hgpu.org

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Using hybrid GPU/CPU kernel splitting to accelerate spherical convolutions

P. M. Sutter, Benjamin D. Wandelt, Franz Elsner

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Tags: Astrophysics, Cosmology, CUDA, nVidia, nVidia GeForce GTX 480

September 17, 2014 by hgpu

Dymaxion++: A Directive-based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems

Shuai Che, Jiayuan Meng, Kevin Skadron

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Tags: ATI, ATI Radeon HD 7950, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL

September 5, 2014 by hgpu

Structured Orthogonal Inversion of Block p-Cyclic Matrices on Multicore with GPU Accelerators

Sergiy Gogolenko, Zhaojun Bai, Richard Scalettar

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Tags: Algorithms, Computer science, CUDA, Factorization, Mathematics, nVidia, nVidia GeForce GTX 480, Package, Tesla C1060

August 23, 2014 by hgpu

Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code

Newsha Ardalani, Karthikeyan Sankaralingam, Xiaojin Zhu

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 660 Ti, OpenCL, Performance, Tesla K20

August 23, 2014 by hgpu

A Comprehensive Survey on Various Evolutionary Algorithms on GPU

Satvir Singh, Jaspreet Kaur, Rashmi Sharan Sinha

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Particle swarm optimization, Tesla C1060, Tesla C2050

August 23, 2014 by hgpu

An Efficient Cell List Implementation for Monte Carlo Simulation on GPUs

Loren Schwiebert, Eyad Hailat, Kamel Rushaidat, Jason Mick, Jeffrey Potoff

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Tags: Algorithms, Computational Physics, CUDA, Molecular dynamics, Molecular simulation, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 550 Ti, Physics, Tesla K40

August 19, 2014 by hgpu

Performance-efficient mechanisms for managing irregularity in throughput processors

Minsoo Rhu

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 480, Performance, Prefetch, Thesis

July 20, 2014 by hgpu

GPUdrive: Reconsidering Storage Accesses for GPU Acceleration

Mustafa Shihab, Karl Taht, Myoungsoo Jung

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Storage system

July 16, 2014 by hgpu

Analysis of Surface Folding Patterns of DICCCOLS Using the GPU-Optimized Geodesic Field Estimate

Anirban Mukhopadhyay, Chul Woo Lim, Suchendra M. Bhandarkar, Hanbo Chen, Austin New, Tianming Liu, Khaled Rasheed, Thiab Taha

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Tags: Algorithms, Biology, CUDA, Diffusion tensor, Image registration, Neuroscience, nVidia, nVidia GeForce GTX 480

July 7, 2014 by hgpu

Latency considerations of depth-first GPU ray tracing

M. Guthe

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Tags: 3D Graphics and Realism, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Package, Raytracing

July 7, 2014 by hgpu

Reducing the Code Degree Of Parallelism to Increase GPUs Reliability

P. Rech, L. Carro

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Tags: Computer science, CUDA, Fault simulation, nVidia, nVidia GeForce GTX 480, Tesla C2050

July 3, 2014 by hgpu

Kd-tree Based N-Body Simulations with Volume-Mass Heuristic on the GPU

Klaus Kofler, Dominik Steinhauser, Biagio Cosenza, Ivan Grasso, Sabine Schindler, Thomas Fahringer

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Tags: Algorithms, Astrophysics, ATI, ATI Radeon HD 5870, ATI Radeon HD 7950, Computational Complexity, Computer science, KD-tree, N-body simulation, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla K20

July 1, 2014 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Using hybrid GPU/CPU kernel splitting to accelerate spherical convolutions

Dymaxion++: A Directive-based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems

Structured Orthogonal Inversion of Block p-Cyclic Matrices on Multicore with GPU Accelerators

Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code

A Comprehensive Survey on Various Evolutionary Algorithms on GPU

An Efficient Cell List Implementation for Monte Carlo Simulation on GPUs

Performance-efficient mechanisms for managing irregularity in throughput processors

GPUdrive: Reconsidering Storage Accesses for GPU Acceleration

Analysis of Surface Folding Patterns of DICCCOLS Using the GPU-Optimized Geodesic Field Estimate

Latency considerations of depth-first GPU ray tracing

Reducing the Code Degree Of Parallelism to Increase GPUs Reliability

Kd-tree Based N-Body Simulations with Volume-Mass Heuristic on the GPU

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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