high performance computing on graphics processing units: hgpu.org

hgpu.org » C++ AMP

GPU System Call

Jan Vesely, Arkaprava Basu, Abhishek Bhattacharjee, Gabriel Loh, Mark Oskin, Steven K. Reinhardt

View

Download (PDF)

Tags: ATI, C++ AMP, Computer science, Operating systems

May 22, 2017 by hgpu

Accelerating Web Search using GPUs

Rimon Tadros

View

Download (PDF)

Tags: C++ AMP, Computer science, nVidia, nVidia GeForce GTX 660 Ti, nVidia GeForce GTX 750 Ti, Search, Thesis

September 8, 2015 by hgpu

Optimizing ASP.NET with C++ AMP on the GPU

Scott Zimmerman

View

Download (PDF)

Source codes

Tags: C++ AMP, Cloud, Computer science, Matrix multiplication, nVidia, nVidia GRID K520, Package

April 17, 2015 by hgpu

Generating Null Models for Large-Scale Networks on GPU

Huan Li, Gang Lu, Junxia Guo

View

Download (PDF)

Tags: C++ AMP, Computer science, Networks, nVidia, nVidia GeForce GTX 480

April 1, 2015 by hgpu

C++ AMP: Accelerated Massive Parallelism with Microsoft Visual C++

Kate Gregory, Ade Miller

View

Download (PDF)

Tags: Book, C++ AMP, Programming Languages

December 13, 2014 by AlexVlx

Grace: a Cross-platform Micromagnetic Simulator On Graphics Processing Units

Ru Zhu

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, C++ AMP, Computational Physics, Computer science, Physics

November 12, 2014 by hgpu

Accelerated Combinatorial Optimization using Graphics Processing Units and C++ AMP

Alexandru Voicu

View

Download (PDF)

Tags: Algorithm optimization, Ant colony optimization, C++ AMP

September 8, 2014 by AlexVlx

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

GPU System Call

Accelerating Web Search using GPUs

Generating Null Models for Large-Scale Networks on GPU

C++ AMP: Accelerated Massive Parallelism with Microsoft Visual C++

Grace: a Cross-platform Micromagnetic Simulator On Graphics Processing Units

Accelerated Combinatorial Optimization using Graphics Processing Units and C++ AMP

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)