high performance computing on graphics processing units: hgpu.org

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Dynamic Load Balancing using Graphics Processors

R. Mohan, N. P. Gopalan

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Tags: Computer science, CUDA, nVidia, Performance, Task scheduling

March 18, 2014 by hgpu

GPU-EvR: Run-time Event Based Real-time Scheduling Framework on GPGPU Platform

Haeseung Lee, Mohammad Abdullah Al Faruque

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Tags: Computer science, nVidia, Task scheduling, Tesla K20

March 10, 2014 by hgpu

Converting Data to Task-Parallelism by Rewrites

Ryan R. Newton, Eric Holk, Trevor L. McDonell

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Tags: Computer science, CUDA, Haskell, nVidia, Package, Task scheduling, Tesla C2075

March 7, 2014 by hgpu

Extending a Run-time Resource Management framework to support OpenCL and Heterogeneous Systems

Giuseppe Massari, Chiara Caffarri, Patrick Bellasi, William Fornaciari

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Tags: ATI, ATI Radeon HD 7750, Computer science, OpenCL, Task scheduling

February 28, 2014 by jumanix

A scheduling and runtime framework for a cluster of heterogeneous machines with multiple accelerators

Tarun Beri, Sorav Bansal, Subodh Kumar

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Tags: Computer science, CUDA, FFT, GPU cluster, Heterogeneous systems, Matrix multiplication, Memory model, nVidia, Prefetch, Task scheduling, Tesla M2070

February 11, 2014 by hgpu

Consolidating Applications for Energy Efficiency in Heterogeneous Computing Systems

Jing Zhang, Hao Wang, Heshan Lin, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, Energy-efficient computing, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan, OpenCL, Task scheduling

January 29, 2014 by hgpu

Impact of communication times on mixed CPU/GPU applications scheduling using KAAPI

David Beniamine

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Tags: Computer science, CUDA, nVidia, nVidia Quadro NVS 300, Task scheduling, Tesla C2050, Thesis

January 29, 2014 by hgpu

Automatic Resource-Constrained Static Task Parallelization

Dounia Khaldi

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Tags: Algorithms, Code generation, Computer science, MPI, OpenCL, Task scheduling, Thesis

January 28, 2014 by hgpu

A Dynamic Offload Scheduler for spatial multitasking on Intel Xeon Phi Coprocessor

Takamichi Miyamoto, Kazuhisa Ishizaka, Takeo Hosomi

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Tags: Computer science, Intel Xeon Phi, Task scheduling

January 26, 2014 by hgpu

Multi-GPU Load Balancing for In-Situ Simulation and Visualization

Yong Cao, Robert Hagan

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Tags: Computer science, nVidia, nVidia GeForce GTX 295, Rendering, Task scheduling, Visualization

December 27, 2013 by hgpu

Adaptive Task Size Control on High Level Programming for GPU/CPU Work Sharing

Tetsuya Odajima, Taisuke Boku, Mitsuhisa Sato, Toshihiro Hanawa, Yuetsu Kodama, Raymond Namyst, Samuel Thibault, Olivier Aumage

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Package, Performance, Task scheduling, Tesla M2090

December 25, 2013 by hgpu

Towards global composition of performance-aware components for GPU-based systems

Usman Dastgeer, Christoph Kessler

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Tags: Computer science, CUDA, Flow analysis, Heterogeneous systems, nVidia, Task scheduling, Tesla C2050

December 20, 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

Dynamic Load Balancing using Graphics Processors

GPU-EvR: Run-time Event Based Real-time Scheduling Framework on GPGPU Platform

Converting Data to Task-Parallelism by Rewrites

Extending a Run-time Resource Management framework to support OpenCL and Heterogeneous Systems

A scheduling and runtime framework for a cluster of heterogeneous machines with multiple accelerators

Consolidating Applications for Energy Efficiency in Heterogeneous Computing Systems

Impact of communication times on mixed CPU/GPU applications scheduling using KAAPI

Automatic Resource-Constrained Static Task Parallelization

A Dynamic Offload Scheduler for spatial multitasking on Intel Xeon Phi Coprocessor

Multi-GPU Load Balancing for In-Situ Simulation and Visualization

Adaptive Task Size Control on High Level Programming for GPU/CPU Work Sharing

Towards global composition of performance-aware components 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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