high performance computing on graphics processing units: hgpu.org

hgpu.org » CUDA

Supporting x86-64 Address Translation for 100s of GPU Lanes

Jason Power, Mark D. Hill, David A. Wood

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, GPGPU-sim, Hardware Architecture, nVidia

January 18, 2014 by hgpu

Improving the Performance of CA-GMRES on Multicores with Multiple GPUs

Ichitaro Yamazaki, Hartwig Anzt, Stanimire Tomov, Mark Hoemmenx, Jack Dongarra

View

Download (PDF)

Tags: Computer science, CUDA, Linear Algebra, nVidia, Performance, Tesla M2090

January 18, 2014 by hgpu

A GPU-based Multi-level Subspace Decomposition Scheme for Hierarchical Tensor Product Bases

Ivan Chernov

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Thesis, Visualization

January 18, 2014 by hgpu

Computing Spatial Distance Histograms for Large Scientific Datasets On-the-Fly

Anand Kumar, Vladimir Grupcev, Yongke Yuan, Jin Huang, Yi-Cheng Tu, Gang Shen

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 570

January 18, 2014 by hgpu

Power Profiling of GeMTC Many Task Computing

Sean Wallace, Scott Krieder, Ioan Raicu

View

Download (PDF)

Tags: Computer science, CUDA, Energy-efficient computing, Intel Xeon Phi, nVidia

January 17, 2014 by hgpu

GPU Accelerated Vessel Segmentation Using Laplacian Eigenmaps

Lin Cheng, Hyunsu Cho, Peter A. Yoon

View

Download (PDF)

Source codes

Tags: CUDA, Image processing, nVidia, Package, Tesla K20

January 17, 2014 by hgpu

Efficient Parallel Video Processing Techniques on GPU: From Framework to Implementation

Huayou Su, Chunyuan Zhang, Mei Wen, Nan Wu

View

Download (PDF)

Tags: Algorithms, CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 460, Tesla C2050, Video encoding

January 17, 2014 by hgpu

MRPB: Memory Request Prioritization for Massively Parallel Processors

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

View

Download (PDF)

Tags: Computer science, CUDA, GPGPU-sim, nVidia, Performance, Tesla C2050

January 16, 2014 by hgpu

VertexAPI2 – A Vertex-Program API for Large Graph Computations on the GPU

Erich Elsen, Vishal Vaidyanathan

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 670, Package

January 16, 2014 by hgpu

A Pervasive Parallel Framework for Visualization

Kenneth Moreland

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, Tesla M2050, Visualization

January 14, 2014 by hgpu

Optimal Alignment of Three Sequences On A GPU

Junjie Li, Sanjay Ranka, Sartaj Sahni

View

Download (PDF)

Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, Tesla C2050

January 14, 2014 by hgpu

A hierarchically blocked Jacobi SVD algorithm for single and multiple graphics processing units

Vedran Novakovic

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Numerical Analysis, nVidia, Tesla C2070, Tesla K20, Tesla S2050

January 14, 2014 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Supporting x86-64 Address Translation for 100s of GPU Lanes

Improving the Performance of CA-GMRES on Multicores with Multiple GPUs

A GPU-based Multi-level Subspace Decomposition Scheme for Hierarchical Tensor Product Bases

Computing Spatial Distance Histograms for Large Scientific Datasets On-the-Fly

Power Profiling of GeMTC Many Task Computing

GPU Accelerated Vessel Segmentation Using Laplacian Eigenmaps

Efficient Parallel Video Processing Techniques on GPU: From Framework to Implementation

MRPB: Memory Request Prioritization for Massively Parallel Processors

VertexAPI2 – A Vertex-Program API for Large Graph Computations on the GPU

A Pervasive Parallel Framework for Visualization

Optimal Alignment of Three Sequences On A GPU

A hierarchically blocked Jacobi SVD algorithm for single and multiple graphics processing units

Recent source codes

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

Most viewed papers (last 30 days)