high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming » Algorithms

Acceleration of information-theoretic data analysis with graphics processing units

Davor Sluga, Tomaz Curk, Blaz Zupan, Uros Lotric

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data mining, nVidia, Tesla C2050

February 14, 2012 by hgpu

Using Graphical Processing Units in Scheduling Problems

K. Mihaly, O. Hornyak

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, Task scheduling, Tesla C1060

February 13, 2012 by hgpu

Recursive MIS Computation for Streaming BDPT on the GPU

Dietger van Antwerpen

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Rendering

February 12, 2012 by hgpu

FPGA accelerated 3D reconstruction using compressive sensing

Jianwen Chen, Jason Cong, Ming Yan, Yi Zou

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, FPGA, Medicine, nVidia, nVidia GeForce GTX 480, Optimization, Tesla C1060, Tomography

February 12, 2012 by hgpu

Fast Polynomial Approximation Acceleration on the GPU

Lumir Janosek, Martin Nemec

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9600 GT, nVidia GeForce 9800 GTX, nVidia GeForce GTS 450

February 12, 2012 by hgpu

Face Detection CUDA Accelerating

Jaromir Krpec, Martin Nemec

View

Download (PDF)

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

February 12, 2012 by hgpu

Scalability of Self-organizing Maps on a GPU cluster using OpenCL and CUDA

Sabine McConnell, Robert Sturgeon, Gregory Henry, Andrew Mayne, Richard Hurley

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data mining, GPU cluster, nVidia, nVidia GeForce GT 220, OpenCL, Self-organizing map, Tesla S1070

February 11, 2012 by hgpu

Automatic Performance Optimization in ViennaCL for GPUs

Karl Rupp, Josef Weinbub, Florian Rudolf

View

Download (PDF)

Source codes

Tags: Algorithms, ATI, ATI Radeon HD 5850, Computer science, Linear Algebra, nVidia, nVidia GeForce 8500 GT, nVidia GeForce GTX 470, OpenCL, Optimization, Package, Performance, Programming techniques

February 10, 2012 by hgpu

Customizing Instruction Set Extensible Reconfigurable Processors using GPUs

Unmesh D. Bordoloi, Bharath Suri, Swaroop Nunna, Samarjit Chakraborty, Petru Eles, Zebo Peng

View

Download (PDF)

Tags: Algorithms, Benchmarking, Computer science, CUDA, nVidia, OpenCL, Optimization, Tesla M2050

February 10, 2012 by hgpu

Ensemble K-means on multi-core architectures

Girish Ravunnikutty, Rejith George Joseph, Sanjay Ranka, Alin Dobra

View

Download (PDF)

Tags: Algorithms, ATI, ATI FirePro V7800, Clustering, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL

February 10, 2012 by hgpu

Implementing Molecular Dynamics on Hybrid High Performance Computers – Particle-Particle Particle-Mesh

W. Michael Brown, Axel Kohlmeyer, Steven J. Plimpton, Arnold N. Tharrington

View

Download (PDF)

Source codes

Tags: Algorithms, Chemistry, CUDA, Electrostatics, GPU cluster, Heterogeneous systems, Molecular dynamics, nVidia, OpenCL, OpenMPI, Package, Physics, Tesla M2070

February 10, 2012 by hgpu

Real-Time SAH BVH Construction for Ray Tracing Dynamic Scenes

Dmitry Sopin, Denis Bogolepov, Danila Ulyanov

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Raytracing, Real-time graphics, Rendering

February 10, 2012 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Programming

Acceleration of information-theoretic data analysis with graphics processing units

Using Graphical Processing Units in Scheduling Problems

Recursive MIS Computation for Streaming BDPT on the GPU

FPGA accelerated 3D reconstruction using compressive sensing

Fast Polynomial Approximation Acceleration on the GPU

Face Detection CUDA Accelerating

Scalability of Self-organizing Maps on a GPU cluster using OpenCL and CUDA

Automatic Performance Optimization in ViennaCL for GPUs

Customizing Instruction Set Extensible Reconfigurable Processors using GPUs

Ensemble K-means on multi-core architectures

Implementing Molecular Dynamics on Hybrid High Performance Computers – Particle-Particle Particle-Mesh

Real-Time SAH BVH Construction for Ray Tracing Dynamic Scenes

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

Most viewed papers (last 30 days)