high performance computing on graphics processing units: hgpu.org

hgpu.org » Task scheduling

A Data Communication Scheduler for Stream Programs on CPU-GPU Platform

Tao Tang, Xinhai Xu, Yisong Lin

Tags: ATI, Computer science, Heterogeneous systems, Task scheduling

March 25, 2011 by hgpu

Modeling GPU-CPU Workloads and Systems

Andrew Kerr, Gregory Diamos, Sudhakar Yalamanchili

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce 8600 GS, nVidia GeForce GTX 280, Performance, Task scheduling, Tesla C1060

March 23, 2011 by hgpu

Aspects of GPU for general purpose high performance computing

Takayuki Aoki, Shoichi Hirasawa, Akira Nukada, Hiroki Honda, Satoshi Matsuoka

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Performance, Programming techniques, Task scheduling

March 23, 2011 by hgpu

Task Scheduling of Parallel Processing in CPU-GPU Collaborative Environment

Lei Wang, Yong-Zhong Huang, Xin Chen, Chun-Yan Zhang

Tags: Algorithms, Computer science, nVidia, nVidia GeForce 7600 GT, Task scheduling

March 17, 2011 by hgpu

Task management for irregular-parallel workloads on the GPU

Stanley Tzeng, Anjul Patney, John D. Owens

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Optimization, Performance, Presentation, Task scheduling

March 6, 2011 by hgpu

Dynamic load balancing on single- and multi-GPU systems

Long Chen, Oreste Villa, Sriram Krishnamoorthy, Guang R. Gao

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Optimization, Performance, Task scheduling, Tesla C1060

March 6, 2011 by hgpu

Real-Time Multiprocessor Systems with GPUs

Glenn A. Elliott and James H. Anderson

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Performance, Task scheduling

March 3, 2011 by hgpu

Dynamically scheduled Cholesky factorization on multicore architectures with GPU accelerators

Emmanuel Agullo, Cedric Augonnet, Jack Dongarra, Hatem Ltaief, Raymond Namyst, Jean Roman, Samuel Thibault, Stanimire Tomov

View

Download (PDF)

Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia Quadro FX 5800, Task scheduling

February 17, 2011 by hgpu

Solving dense linear systems on platforms with multiple hardware accelerators

Enrique S. Quintana-Orti, Francisco D. Igual, Enrique S. Quintana-Orti, Robert A. van de Geijn

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, GPU cluster, Linear Algebra, nVidia, Package, Task scheduling, Tesla S870

January 17, 2011 by hgpu

An events based algorithm for distributing concurrent tasks on multi-core architectures

David W. Holmes, John R. Williams, Peter Tilke

View

Download (PDF)

Tags: Algorithms, Computer science, Performance, Task scheduling

January 11, 2011 by hgpu

Predictive Runtime Code Scheduling for Heterogeneous Architectures

Victor Jimenez, Lluis Vilanova, Isaac Gelado, Marisa Gil, Grigori Fursin, Nacho Navarro

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600 GTS, Task scheduling

November 27, 2010 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

* * *

high performance computing on graphics processing units: hgpu.org

A Data Communication Scheduler for Stream Programs on CPU-GPU Platform

Modeling GPU-CPU Workloads and Systems

Aspects of GPU for general purpose high performance computing

Task Scheduling of Parallel Processing in CPU-GPU Collaborative Environment

Task management for irregular-parallel workloads on the GPU

Dynamic load balancing on single- and multi-GPU systems

Real-Time Multiprocessor Systems with GPUs

Dynamically scheduled Cholesky factorization on multicore architectures with GPU accelerators

Solving dense linear systems on platforms with multiple hardware accelerators

An events based algorithm for distributing concurrent tasks on multi-core architectures

Predictive Runtime Code Scheduling for Heterogeneous Architectures

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

Most viewed papers (last 30 days)