high performance computing on graphics processing units: hgpu.org

hgpu.org » Virtualization

Gvim: Gpu-accelerated virtual machines

Vishakha Gupta, Ada Gavrilovska, K. Schwan, Harshvardhan Kharche, Niraj Tolia, Vanish Talwar, Parthasarathy Ranganathan

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTX, Virtualization

March 23, 2011 by hgpu

OpenGL application live migration with GPU acceleration in personal cloud

Yunbiao Lin, Wei Wang, Kyle Gui

Tags: Algorithms, Computer science, OpenGL, Software Engineering, Virtualization

February 25, 2011 by hgpu

Secure 3D graphics for virtual machines

Christopher Smowton

View

Download (PDF)

Tags: Computer science, DirectX, OpenGL, Virtualization

January 18, 2011 by hgpu

Deformable object simulation in virtual environment

Louis Li-Fang Chang, Damon Shing-Min Liu

Tags: Computer science, Programming techniques, Virtualization

December 4, 2010 by hgpu

vCUDA: GPU accelerated high performance computing in virtual machines

Lin Shi, Hao Chen, Jianhua Sun

Tags: Computer science, Virtualization

November 22, 2010 by hgpu

An Efficient Implementation of GPU Virtualization in High Performance Clusters

Jose Duato, Francisco Igual, Rafael Mayo, Antonio Pena, Enrique Quintana-Orti, Federico Silla

Tags: Computer science, CUDA, Grid, nVidia, Virtualization

November 22, 2010 by hgpu

MPI within a GPU

Bobby Dalton Young

View

Download (PDF)

Tags: Computer science, CUDA, Data parallelism, MPI, nVidia, nVidia GeForce 8800 GTS, Thesis, Virtualization

November 5, 2010 by hgpu

GPU virtualization on VMware’s hosted I/O architecture

Micah Dowty, Jeremy Sugerman

View

Download (PDF)

Tags: Computer science, Virtualization

October 28, 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

Gvim: Gpu-accelerated virtual machines

OpenGL application live migration with GPU acceleration in personal cloud

Secure 3D graphics for virtual machines

Deformable object simulation in virtual environment

vCUDA: GPU accelerated high performance computing in virtual machines

An Efficient Implementation of GPU Virtualization in High Performance Clusters

MPI within a GPU

GPU virtualization on VMware’s hosted I/O architecture

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)