high performance computing on graphics processing units: hgpu.org

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Multicore Scheduling of Parallel Real-Time Tasks with Multiple Parallelization Options

Jihye Kwon, Kang-Wook Kim, Sangyoun Paik, Jihwa Lee, Chang-Gun Lee

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Tags: Algorithms, Computer science, OpenCL, Task scheduling

December 18, 2014 by hgpu

Portable OpenCL Out-of-Order Execution Framework for Heterogeneous Platforms

Ville Korhonen

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Tags: Computer science, Data parallelism, Heterogeneous systems, OpenCL, Task scheduling, Thesis

December 9, 2014 by hgpu

Application Synthesis and Optimization on Heterogeneous Parallel Processing Systems

Chih-Sheng Lin

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTS 250, nVidia GeForce GTX 690, OpenCL, Task scheduling, Tesla C2050, Thesis

December 1, 2014 by hgpu

Embedding GPU Computations in Hadoop

Jie Zhu, Hai Jiang, Juanjuan Li, Erikson Hardesty, Kuan-Ching Li, Zhongwen Li

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Tags: Cloud, Computer science, CUDA, Hadoop, Heterogeneous systems, Java, MapReduce, nVidia, nVidia GeForce GTX 480, Task scheduling

October 6, 2014 by hgpu

A Study of the Potential of Locality-Aware Thread Scheduling for GPUs

Cedric Nugteren, Gert-Jan van den Braak, Henk Corporaal

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 580, OpenCL, Task scheduling

September 28, 2014 by hgpu

Smart Multi-Task Scheduling for OpenCL Programs on CPU/GPU Heterogeneous Platforms

Yuan Wen, Zheng Wang, Michael F.P. O'Boyle

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 590, OpenCL, Task scheduling

September 17, 2014 by hgpu

A Fine Grained Cycle Sharing System with Cooperative Multitasking on GPUs

Fumihiko Ino, Yosuke Oka, Kenichi Hagihara

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Tags: Computer science, CUDA, Distributed computing, Grid, nVidia, nVidia GeForce GTX 680, Task scheduling

July 14, 2014 by hgpu

Improving Performance and Energy Consumption of Runtime Schedulers for Dense Linear Algebra

Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Orti

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Task scheduling, Tesla S1070, Tesla S2050

July 10, 2014 by hgpu

A GPU-Based Simulation Kernel within Heterogeneous Collaborative Computation on Large-Scale Artificial Society

Li Zhen, Qiuxiao Gang, Guo Gang, Chen Bin

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

May 24, 2014 by hgpu

Exploring the Multitude of Real-Time Multi-GPU Configurations

Glenn A. Elliott, James H. Anderson

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Tags: Computer science, CUDA, nVidia, nVidia Quadro K5000, Task scheduling

May 24, 2014 by hgpu

An OpenCL Runtime and Scheduler for Embedded Multicore DSP Parallel Systems

Li Tian, Fugen Zhou, Cai Meng

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Tags: Computer science, DSP, Embedded high-performance computing, nVidia, OpenCL, Task scheduling

May 18, 2014 by hgpu

Automatic Scheduling of Compute Kernels Across Heterogeneous Architectures

Robert F. Lyerly

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Tags: Compilers, Computer science, Heterogeneous systems, Intel Xeon Phi, Machine learning, nVidia, OpenCL, OpenMP, Task scheduling, Tesla C2075

May 9, 2014 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

Multicore Scheduling of Parallel Real-Time Tasks with Multiple Parallelization Options

Portable OpenCL Out-of-Order Execution Framework for Heterogeneous Platforms

Application Synthesis and Optimization on Heterogeneous Parallel Processing Systems

A Study of the Potential of Locality-Aware Thread Scheduling for GPUs

Smart Multi-Task Scheduling for OpenCL Programs on CPU/GPU Heterogeneous Platforms

A Fine Grained Cycle Sharing System with Cooperative Multitasking on GPUs

Improving Performance and Energy Consumption of Runtime Schedulers for Dense Linear Algebra

A GPU-Based Simulation Kernel within Heterogeneous Collaborative Computation on Large-Scale Artificial Society

Exploring the Multitude of Real-Time Multi-GPU Configurations

An OpenCL Runtime and Scheduler for Embedded Multicore DSP Parallel Systems

Automatic Scheduling of Compute Kernels Across 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

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