Computer science | Page 648

hgpu.org » Computer science

MLS-based scalar fields over triangle meshes and their application in mesh processing

Jingyi Jin, Michael Garland, Edgar A. Ramos

Tags: 3D Graphics and Realism, Algorithms, Computer science, Triangular meshes

January 24, 2011 by hgpu

CUDASA: Compute Unified Device and Systems Architecture

M. Strengert, C. Muller, C. Dachsbacher, and T. Ertl

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, High-level Languages, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTX, nVidia Quadro FX 5600

January 24, 2011 by hgpu

Exploiting More Parallelism from Applications Having Generalized Reductions on GPU Architectures

Xiao-Long Wu, Nady Obeid, Wen-Mei Hwu

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, Optimization

January 24, 2011 by hgpu

Data Layout Transformation for Structured-Grid Codes on GPU

I-Jui Sung, Wen-Mei Hwu

View

Download (PDF)

Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280

January 24, 2011 by hgpu

Program Optimization Strategies for Data-Parallel Many-Core Processors

Shane Ryoo

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Thesis

January 24, 2011 by hgpu

Efficient Parallel Scan Algorithms for GPUs

Shubhabrata Sengupta, Mark Harris, Michael Garland

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Package

January 24, 2011 by hgpu

Efficient Sparse Matrix-Vector Multiplication on CUDA

Nathan Bell and Michael Garland

View

Download (PDF)

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Sparse matrix

January 24, 2011 by hgpu

Parallel Genetic Algorithms on Programmable Graphics Hardware

Qizhi Yu, Chongcheng Chen and Zhigeng Pan

View

Download (PDF)

Tags: Algorithms, Cg, Computer science, Genetic programming, nVidia, nVidia GeForce 6800 GT

January 23, 2011 by hgpu

Parallel Evolutionary Algorithms on Consumer-Level Graphics Processing Unit

Tien-Tsin Wong and Man Leung Wong

Tags: Algorithms, Computer science, Evolutionary Computations, Genetic programming

January 23, 2011 by hgpu

Parallel hybrid genetic algorithms on Consumer-Level graphics hardware

Man-Leung Wong, Tien-Tsin Wong

Tags: Algorithms, Computer science, Genetic programming

January 23, 2011 by hgpu

Cellular Genetic Algorithms and Local Search for 3-SAT problem on Graphic Hardware

Zhongwen Luo, Hongzhi Liu

Tags: Algorithms, Computer science, Genetic programming, SAT

January 23, 2011 by hgpu

Evolutionary Computing on Consumer-Level Graphics Hardware

Ka-Ling Fok, Tien-TsinWong, Man-Leung Wong

View

Download (PDF)

Tags: Algorithms, Computer science, Genetic programming, nVidia, nVidia GeForce 6800 Ultra, Shaders

January 23, 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

* * *

high performance computing on graphics processing units: hgpu.org

MLS-based scalar fields over triangle meshes and their application in mesh processing

CUDASA: Compute Unified Device and Systems Architecture

Exploiting More Parallelism from Applications Having Generalized Reductions on GPU Architectures

Data Layout Transformation for Structured-Grid Codes on GPU

Program Optimization Strategies for Data-Parallel Many-Core Processors

Efficient Parallel Scan Algorithms for GPUs

Efficient Sparse Matrix-Vector Multiplication on CUDA

Parallel Genetic Algorithms on Programmable Graphics Hardware

Parallel Evolutionary Algorithms on Consumer-Level Graphics Processing Unit

Parallel hybrid genetic algorithms on Consumer-Level graphics hardware

Cellular Genetic Algorithms and Local Search for 3-SAT problem on Graphic Hardware

Evolutionary Computing on Consumer-Level Graphics Hardware

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)