high performance computing on graphics processing units: hgpu.org

Ashwin M. Aji, Lokendra S. Panwar, Feng Ji, Milind Chabbi, Karthik Murthy, Pavan Balaji, Keith R. Bisset, James Dinan, Wu-chun Feng, John Mellor-Crummey, Xiaosong May, Rajeev Thakur

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, nVidia, Optimization, Seismology, Tesla M2050

April 22, 2013 by hgpu

A General-Purpose GPU Reservoir Computer

Tureiti Keith

View

Download (PDF)

Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 480, Thesis

April 22, 2013 by hgpu

Programming Models and Runtimes for Heterogeneous Systems

Max Grossman

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Tesla C2050, Tesla M2050, Thesis

April 22, 2013 by hgpu

Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter

Sumedh Naik

View

Download (PDF)

Tags: ATI Radeon HD 5870, Computer science, CUDA, Filtering, Image processing, MPI, nVidia, OpenCL, Tesla C2050, Thesis

April 22, 2013 by hgpu

Fast Makespan Estimation for GPU Threads on a Single Streaming Multiprocessor

Kostiantyn Berezovskyi, Konstantinos Bletsas, Stefan M. Petters

View

Download (PDF)

Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 680, PTX, Timing analysis

April 22, 2013 by hgpu

Use NVIDIA CUDA technology to create genetic algorithms with extensive population

Maciej Kolomycki

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 460

April 22, 2013 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Directive-based Approach to Heterogeneous Computing

Faster Upper Body Pose Estimation and Recognition Using CUDA

Reduce, Reuse, Recycle (R^3): a Design Methodology for Sparse Matrix Vector Multiplication on Reconfigurable Platforms

GPU Scripting and Code Generation with PyCUDA

SW# – GPU enabled exact alignments on genome scale

GPU-based Implementation of 128-bit Secure Eta Pairing Over a Binary Field

On the Efficacy of GPU-Integrated MPI for Scientific Applications

A General-Purpose GPU Reservoir Computer

Programming Models and Runtimes for Heterogeneous Systems

Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter

Fast Makespan Estimation for GPU Threads on a Single Streaming Multiprocessor

Use NVIDIA CUDA technology to create genetic algorithms with extensive population

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

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

Most viewed papers (last 30 days)