high performance computing on graphics processing units: hgpu.org

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Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations

Marcin Bogdanski, Peter R. Lewis, Tobias Becker, Xin Yao

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Tags: Algorithms, Computer science, Finance, FPGA, Heterogeneous systems, Machine learning, Task scheduling

September 3, 2011 by hgpu

SCF: a device- and language-independent task coordination framework for reconfigurable, heterogeneous systems

V. Aggarwal, R. Garcia, G. Stitt, A. George, H. Lam

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Tags: Computer science, FPGA, Heterogeneous systems, Performance, Software Engineering, Task scheduling

August 24, 2011 by hgpu

MDR: performance model driven runtime for heterogeneous parallel platforms

Jacques A. Pienaar, Anand Raghunathan, Srimat Chakradhar

Tags: Computer science, Heterogeneous systems, Performance, Programming techniques, Task scheduling

August 23, 2011 by hgpu

Towards a More Efficient Use of GPUs

Pedro Valero, Fernando L. Pelayo

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Tags: Computer science, nVidia, nVidia GeForce 9600 M GT, nVidia GeForce GTX 285, Performance, Task scheduling

July 30, 2011 by hgpu

Dynamic Self-Rescheduling of Tasks over a Heterogeneous Platform

A.P.D. Binotto, E.P. Freitas, M. Gotz, C.E. Pereira, A. Stork, T. Larsson

Tags: Algorithms, Computer science, Heterogeneous systems, Image processing, Task scheduling

July 29, 2011 by hgpu

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

Alecio P.D. Binotto, Bernardo M.V. Pedras, Marcelo Goetz, Arjan Kuijper, Carlos E. Pereira, Andre Stork, Dieter W. Fellner

Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Task scheduling

July 27, 2011 by hgpu

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Cedric Augonnet, Jerome Clet-Ortega, Samuel Thibault, Raymond Namyst

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5800, Package, Prefetch, Task scheduling, Tesla S1070

July 26, 2011 by hgpu

Dynamic load balancing on heterogeneous multicore/multiGPU systems

Alejandro Acosta, Robert Corujo, Vicente Blanco, Francisco Almeida

Tags: Computer science, GPU cluster, Heterogeneous systems, Performance, Task scheduling

June 8, 2011 by hgpu

Task Partition Comparison between Multi-core System and GPU

Weimin Zheng, Bo Wang, Yongwei Wu

Tags: Algorithms, Computer science, Grid, Task scheduling

May 20, 2011 by hgpu

Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters

Koichi Shirahata, Hitoshi Sato, Satoshi Matsuoka

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Presentation, Task scheduling, Tesla S1070

April 16, 2011 by hgpu

A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL

Dominik Grewe, Michael O'Boyle

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Tags: ATI, ATI Radeon HD 5970, Benchmarking, Computer science, Heterogeneous systems, OpenCL, Package, Task scheduling

April 4, 2011 by hgpu

A Dynamic Resource Management and Scheduling Environment for Embedded Multimedia and Communications Platforms

A. Bahga, V. K. Madisetti

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

April 1, 2011 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

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high performance computing on graphics processing units: hgpu.org

Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations

SCF: a device- and language-independent task coordination framework for reconfigurable, heterogeneous systems

MDR: performance model driven runtime for heterogeneous parallel platforms

Towards a More Efficient Use of GPUs

Dynamic Self-Rescheduling of Tasks over a Heterogeneous Platform

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Dynamic load balancing on heterogeneous multicore/multiGPU systems

Task Partition Comparison between Multi-core System and GPU

Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters

A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL

A Dynamic Resource Management and Scheduling Environment for Embedded Multimedia and Communications Platforms

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

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