high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

A uniform approach for programming distributed heterogeneous computing systems

Ivan Grasso, Simone Pellegrini, Biagio Cosenza, Thomas Fahringer

View

Download (PDF)

Tags: AMD FirePro W9000, ATI, Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, OpenCL, Tesla K20

September 4, 2014 by hgpu

GPU-accelerated Database Systems: Survey and Open Challenges

Sebastian Bress, Max Heimel, Norbert Siegmund, Ladjel Bellatreche, Gunter Saake

View

Download (PDF)

Tags: Computer science, CUDA, Databases, nVidia, OpenCL

September 3, 2014 by hgpu

Detection of retransmissions in 10G Ethernet using GPUs

Paula Roquero Fuentes

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, Pthreads, Security, Tesla C2075, Thesis

September 3, 2014 by hgpu

Performance Portability Study of Linear Algebra Kernels in OpenCL

Karl Rupp, Philippe Tillet, Florian Rudolf, Josef Weinbub, Tibor Grasser, Ansgar Jungel

View

Download (PDF)

Tags: AMD FirePro W9000, ATI, ATI Radeon HD 5850, Computer science, Intel Xeon Phi, Linear Algebra, nVidia, nVidia GeForce GTX 285, OpenCL, Performance, Portability, Tesla K20

September 3, 2014 by hgpu

Directive-Based Compilers for GPUs

Swapnil Ghike, Ruben Gran, Maria J. Garzaran, David Padua

View

Download (PDF)

Tags: Code generation, Compilers, Computer science, CUDA, nVidia, OpenACC, Tesla X2090

September 2, 2014 by hgpu

LightPlay: Efficient Replay with GPUs

Min Feng, Farzad Khorasani, Rajiv Gupta, Laxmi N. Bhuyan

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 780

September 2, 2014 by hgpu

Determining the difficulty of accelerating problems on a GPU

Dale Tristram, Karen Bradshaw

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, OpenCL

September 2, 2014 by hgpu

Optimistic Parallelism on GPUs

Min Feng, Rajiv Gupta, Laxmi N. Bhuyan

View

Download (PDF)

Tags: Computer science, CUDA, Data parallelism, nVidia, Performance, Tesla C1060

September 2, 2014 by hgpu

Optimization of Data-Parallel Scientific Applications on Highly Heterogeneous Modern HPC Platforms

Ziming Zhong

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Matrix multiplication, Numerical simulation, nVidia, Tesla S2050, Thesis

August 27, 2014 by hgpu

Surface Normal Integration for Convex Space-time Multi-view Reconstruction

Martin R. Oswald, Daniel Cremers

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX Titan

August 27, 2014 by hgpu

HSApriori: High Speed Association Rule Mining using Apriori Based Algorithm for GPU

D.William Albert, K.Fayaz, D.Veerabhadra Babu

View

Download (PDF)

Tags: Algorithms, Computer science, Data mining, Java, Machine learning, nVidia, OpenCL, Tesla

August 26, 2014 by hgpu

Bandwidth Requirements of GPU Architectures

Benjamin C. Johnstone

View

Download (PDF)

Tags: Computer science, CUDA, GPGPU-sim, nVidia, Performance, Thesis

August 26, 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

A uniform approach for programming distributed heterogeneous computing systems

GPU-accelerated Database Systems: Survey and Open Challenges

Detection of retransmissions in 10G Ethernet using GPUs

Performance Portability Study of Linear Algebra Kernels in OpenCL

Directive-Based Compilers for GPUs

LightPlay: Efficient Replay with GPUs

Determining the difficulty of accelerating problems on a GPU

Optimistic Parallelism on GPUs

Optimization of Data-Parallel Scientific Applications on Highly Heterogeneous Modern HPC Platforms

Surface Normal Integration for Convex Space-time Multi-view Reconstruction

HSApriori: High Speed Association Rule Mining using Apriori Based Algorithm for GPU

Bandwidth Requirements of GPU Architectures

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)