high performance computing on graphics processing units: hgpu.org

hgpu.org » CUDA

Multicore and Manycore Algorithms for Octrees

Dhanavath Saida

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, Thesis

July 17, 2012 by hgpu

Sparse Matrix-Vector Multiplication on NVIDIA GPU

Hui Liu, Song Yu, Zhangxin Chen, Ben Hsieh, Lei Shao

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Sparse matrix, Tesla C2050, Tesla C2070

July 16, 2012 by hgpu

Sparse Matrix Matrix Multiplication on Hybrid CPU+GPU Platforms

Kiran Kumar Matam, Siva Rama Krishna Bharadwaj, Kishore Kothapalli

View

Download (PDF)

Tags: Computer science, CUDA, Matrix multiplication, nVidia, Optimization, Sparse matrix, Tesla C2050

July 16, 2012 by hgpu

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

Abdullah Gharaibeh, Lauro Beltrao Costa, Elizeu Santos-Neto, Matei Ripeanu

View

Download (PDF)

Tags: Computer science, CUDA, Graph theory, Heterogeneous systems, nVidia, Optimization, Performance, Programming Languages, Programming techniques, Tesla C2050

July 16, 2012 by hgpu

ab-Stream: A Framework for programming Many-core

Xinbiao Gan, Zhiying Wang, Li Shen, Qi Zhu

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance

July 15, 2012 by hgpu

A Performance Model for Memory Bandwidth Constrained Applications on Graphics Engines

Lin Ma, Roger D. Chamberlain

View

Download (PDF)

Tags: Biology, BLAST, Computational biology, CUDA, Hashing, nVidia, nVidia GeForce GTX 480, Performance

July 15, 2012 by hgpu

Optimizing All-to-All and Allgather Communications on GPGPU Clusters

Ashish Kumar Singh

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Tesla C2050, Thesis

July 14, 2012 by hgpu

New Techniques for Spectral Image Acquisition and Analysis

Jukka Antikainen

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 3700, Thesis

July 14, 2012 by hgpu

Implementing the Approximate Message Passing (AMP) Algorithm on a GPU

Lukas Cavigelli, Pascal Alexander Hager

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 560 Ti

July 14, 2012 by hgpu

GPU Based Computation of the Structural Tensor for Real-Time Figure Detection

Marcin Bugaj, Boguslaw Cyganek

View

Download (PDF)

Source codes

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8400 M GS, nVidia Quadro FX 3800 M, Package

July 14, 2012 by hgpu

Linearised inversion with GPUs

Chris Leader, Robert Clapp

View

Download (PDF)

Source codes

Tags: CUDA, Image processing, nVidia, Package, Tesla

July 13, 2012 by hgpu

Real-Time Implementation of the Vertex Component Analysis Algorithm on GPUs

A. Barberis, G. Danese, F. Leporati, A. Plaza, E. Torti

View

Download (PDF)

Tags: Algorithms, CUBLAS, CUDA, Data acquisition, Earth and Space Sciences, Geoscience, Linear Algebra, nVidia, nVidia GeForce GTX 460

July 13, 2012 by hgpu

Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Multicore and Manycore Algorithms for Octrees

Sparse Matrix-Vector Multiplication on NVIDIA GPU

Sparse Matrix Matrix Multiplication on Hybrid CPU+GPU Platforms

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

ab-Stream: A Framework for programming Many-core

A Performance Model for Memory Bandwidth Constrained Applications on Graphics Engines

Optimizing All-to-All and Allgather Communications on GPGPU Clusters

New Techniques for Spectral Image Acquisition and Analysis

Implementing the Approximate Message Passing (AMP) Algorithm on a GPU

GPU Based Computation of the Structural Tensor for Real-Time Figure Detection

Linearised inversion with GPUs

Real-Time Implementation of the Vertex Component Analysis Algorithm on GPUs

Recent source codes

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

INT v.s. FP: A framework to compare low-bit integer and float-point formats

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

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

Most viewed papers (last 30 days)