high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Autotuning, Code Generation and Optimizing Compiler Technology for GPUs

Malik Muhammad Zaki Murtaza Khan

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Tags: Code generation, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2050, Thesis

January 26, 2013 by hgpu

Automatic Parallelization for GPUs

Thomas B. Jablin

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Programming techniques, Thesis

January 26, 2013 by hgpu

Locality-Aware Work Stealing on Multi-CPU and Multi-GPU Architectures

Thierry Gautier, Joao V. F. Lima, Nicolas Maillard, Bruno Raffin

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Tags: Computer science, CUDA, Factorization, Heterogeneous systems, Linear Algebra, nVidia, Package, Tesla C2050

January 25, 2013 by hgpu

Programmability and Performance Portability Aspects of Heterogeneous Multi-/Manycore Systems

Christoph Kessler, Usman Dastgeer, Samuel Thibault, Raymond Namyst, Andrew Richards, Uwe Dolinsky, Siegfried Benkner, Jesper Larsson Traff, Sabri Pllana

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance, Tesla C1060, Tesla C2050

January 24, 2013 by hgpu

Developing and Evaluating clOpenCL Applications for Heterogeneous Clusters

Tiago Filipe Rodrigues Ribeiro

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Tags: Cluster computing, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, OpenCL, Thesis

January 24, 2013 by hgpu

GPU-based 3D Wavelet Transform

Vicente Galiano, Otoniel Lopez, Manuel P. Malumbres, Hector Migallon

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 280, Wavelet

January 24, 2013 by hgpu

Reducing GPU Offload Latency via Fine-Grained CPU-GPU Synchronization

Daniel Lustig, Margaret Martonosi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Performance

January 23, 2013 by hgpu

A survey on various computationally intensive parallel applications in High performance Computing System with OpenCL-MPI

Tushar Mungle, Govardhan Hegde, Srikanth Prabhu, N.GopalaKrishna Kini

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Tags: Biometrics, Computer science, MPI, OpenCL, Security

January 23, 2013 by hgpu

Implementing Open-Source CUDA Runtime

Shinpei Kato

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Tags: Computer science, CUDA, nVidia, Operating systems, Package

January 23, 2013 by hgpu

Data parallel patterns on CPU/GPU mix

T. Serban, M. Danelutto, M. Coppola

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GT 540, nVidia GeForce GTX 285, Tesla C2050

January 22, 2013 by hgpu

Accelerating Fast Fourier Transforms Using Hadoop and CUDA

Rostislav Tsiomenko, Bradley S. Rees

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Tags: Computer science, CUDA, FFT, nVidia, nVidia GeForce GT 620

January 22, 2013 by hgpu

The PEPPHER Composition Tool: Performance-Aware Dynamic Composition of Applications for GPU-based Systems

Usman Dastgeer, Lu Li, Christoph Kessler

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Tesla C1060, Tesla C2050

January 22, 2013 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

Applications

Autotuning, Code Generation and Optimizing Compiler Technology for GPUs

Automatic Parallelization for GPUs

Locality-Aware Work Stealing on Multi-CPU and Multi-GPU Architectures

Programmability and Performance Portability Aspects of Heterogeneous Multi-/Manycore Systems

Developing and Evaluating clOpenCL Applications for Heterogeneous Clusters

GPU-based 3D Wavelet Transform

Reducing GPU Offload Latency via Fine-Grained CPU-GPU Synchronization

A survey on various computationally intensive parallel applications in High performance Computing System with OpenCL-MPI

Implementing Open-Source CUDA Runtime

Data parallel patterns on CPU/GPU mix

Accelerating Fast Fourier Transforms Using Hadoop and CUDA

The PEPPHER Composition Tool: Performance-Aware Dynamic Composition of Applications for GPU-based Systems

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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