high performance computing on graphics processing units: hgpu.org

hgpu.org » Task scheduling

CoreTSAR: Task Scheduling for Accelerator-aware Runtimes

Thomas R. W. Scogland, Wu-chun Feng, Barry Rountree, Bronis R. de Supinski

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Task scheduling, Tesla C2070

November 22, 2012 by hgpu

Parallel implementations of the MinMin heterogeneous computing scheduler in GPU

Mauro Canabe, Sergio Nesmachnow

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Task scheduling, Tesla C1060

November 16, 2012 by hgpu

Device specialization in heterogeneous multi-GPU environments

Gabriele Cocco, Antonio Cisternino

View

Download (PDF)

Tags: AMD Fusion, ATI, ATI IL, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, Task scheduling

November 15, 2012 by hgpu

Real-Time Scheduling Using GPUs – Advanced and More Accurate Proof of Feasibility

Peter Fodrek, Ludovit Farkas, Michal Blaho, Martin Foltin, Juraj Hnat, Tomas Murgas

View

Download (PDF)

Tags: Benchmarking, Computer science, OpenCL, Performance, Task scheduling

November 14, 2012 by hgpu

A (ir)regularity-aware task scheduler for heterogeneous platforms

Artur Mariano, Ricardo Alves, Joao Barbosa, Luis Paulo Santos, Alberto Proenca

View

Download (PDF)

Tags: Computer science, CUDA, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, Task scheduling

October 22, 2012 by hgpu

Research on DSP-GPU Heterogeneous Computing System

Xiangzhen Li, Jingying Hu, Weiguo Lv, Guiqiang Wang, Xinrong Cai

View

Download (PDF)

Tags: ATI, ATI Radeon HD 6760, Computer science, DSP, Heterogeneous systems, OpenCL, Particle swarm optimization, Task scheduling

October 20, 2012 by hgpu

.NET High Performance Computing

Hsuan-Hsiu Ou

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 440, nVidia GeForce GTX 480, Task scheduling, Thesis

October 13, 2012 by hgpu

High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms

George Teodoro, Tony Pan, Tahsin M. Kurc, Jun Kong, Lee A. D. Cooper, Joel H. Saltz

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Optimization, Prefetch, Task scheduling, Tesla M2090

September 18, 2012 by hgpu

Exploring Heterogeneous Scheduling using the Task-Centric Programming Model

Artur Podobas, Mats Brorsson, Vladimir Vlassov

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 570, Task scheduling

September 13, 2012 by hgpu

Supporting Preemptive Task Executions and Memory Copies in GPGPUs

Can Basaran, Kyoung-Don Kang

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Performance, Task scheduling

August 21, 2012 by hgpu

Solving very large instances of the scheduling of independent tasks problem on the GPU

Frederic Pinel, Bernabe Dorronsoro, Pascal Bouvry

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Task scheduling, Tesla C2050

August 3, 2012 by hgpu

Scheduling processing of real-time data streams on heterogeneous multi-GPU systems

Uri Verner, Assaf Schuster, Avi Mendelson, Mark Silberstein

View

Download (PDF)

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

July 24, 2012 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

CoreTSAR: Task Scheduling for Accelerator-aware Runtimes

Parallel implementations of the MinMin heterogeneous computing scheduler in GPU

Device specialization in heterogeneous multi-GPU environments

Real-Time Scheduling Using GPUs – Advanced and More Accurate Proof of Feasibility

A (ir)regularity-aware task scheduler for heterogeneous platforms

Research on DSP-GPU Heterogeneous Computing System

.NET High Performance Computing

High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms

Exploring Heterogeneous Scheduling using the Task-Centric Programming Model

Supporting Preemptive Task Executions and Memory Copies in GPGPUs

Solving very large instances of the scheduling of independent tasks problem on the GPU

Scheduling processing of real-time data streams on heterogeneous multi-GPU systems

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)