high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

GPUdmm: A High-Performance and Memory-Oblivious GPU Architecture Using Dynamic Memory Management

Youngsok Kim, Jaewon Lee, Jae-Eon Jo, Jangwoo Kim

View

Download (PDF)

Tags: Computer science, GPGPU-sim, Memory model, nVidia, Tesla C2050

April 13, 2014 by hgpu

Test-driving Intel Xeon Phi

Jianbin Fang, Henk Sips, Lilun Zhang, Chuanfu Xu, Yonggang Che, Ana Lucia Varbanescu

View

Download (PDF)

Source codes

Tags: Computer science, Intel Xeon Phi, Package, Performance

April 13, 2014 by hgpu

Intrusion Detection using Spiking Neural Networks

Gaurav Budjade

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, Computer science, Neural networks, OpenCL, Python, Security

April 13, 2014 by hgpu

Analysis and Review of Sorting Algorithms

Gaurav Kocher, Nikita Agrawa

View

Download (PDF)

Tags: Algorithms, Computer science, OpenCL, Review, Sorting

April 12, 2014 by hgpu

Parallelization of a Monte Carlo Ray Tracing Algorithm for Channel Modelling in Underwater Wireless Optical Communications

V. Guerra, C. Quintana, J. Rufo, J. Rabadan, R. Perez-Jimenez

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, OpenMP, Raytracing, Tesla M2050

April 12, 2014 by hgpu

A Language for Nested Data Parallel Design-space Exploration on GPUs

Bo Joel Svensson, Mary Sheeran, Ryan R. Newton

View

Download (PDF)

Tags: Computer science, CUDA, Data parallelism, Haskell, nVidia, nVidia GeForce GTX 680, Tesla C2070

April 11, 2014 by hgpu

Real-time Simulation of Foam and Sprays Based on the Weber Number

Lihui Zhang, Chao Zhang, Ying Li, Mengya Lv, Yong Tang

View

Download (PDF)

Tags: 3D Graphics and Realism, Cg, Computer science, Fluid simulation, nVidia, nVidia GeForce GT 630, OpenGL

April 11, 2014 by hgpu

Real-time and Realistic Simulation of Large-scale Deep Ocean Wave Foams Based on GPU

Lihui Zhang, Cuiying Guo, Yong Tang, Mengya Lv, Ying Li, Jing Zhao

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, CUDA, FFT, Fluid simulation, nVidia, nVidia GeForce GT 630

April 9, 2014 by hgpu

Modeling and Simulation of a Dynamic Task-Based Runtime System for Heterogeneous Multi-Core Architectures

Luka Stanisic, Samuel Thibault, Arnaud Legrand, Brice Videau, Jean-Francois Mehaut

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, nVidia Quadro FX 5800, Performance, Task scheduling, Tesla C2050, Tesla K20, Tesla M2075

April 9, 2014 by hgpu

Task-based FMM for heterogeneous architectures

Emmanuel Agullo, Berenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi

View

Download (PDF)

Tags: Computer science, CUDA, Fast multipole method, Heterogeneous systems, Numerical simulation, nVidia, Tesla M2070, Tesla M2090

April 9, 2014 by hgpu

A two-level task scheduler on Multiple DSP system for OpenCL

Li Tian, Cai Meng, Fugen Zhou

View

Download (PDF)

Tags: Computer science, DSP, nVidia, OpenCL, Task scheduling

April 9, 2014 by hgpu

Bayesian Sparse Unsupervised Learning for Probit Models of Binary Data

Ari Pakman, Ben Shababo, Liam Paninski

View

Download (PDF)

Tags: Bayesian, Computer science, CUDA, nVidia, Python

April 9, 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

GPUdmm: A High-Performance and Memory-Oblivious GPU Architecture Using Dynamic Memory Management

Test-driving Intel Xeon Phi

Intrusion Detection using Spiking Neural Networks

Analysis and Review of Sorting Algorithms

Parallelization of a Monte Carlo Ray Tracing Algorithm for Channel Modelling in Underwater Wireless Optical Communications

A Language for Nested Data Parallel Design-space Exploration on GPUs

Real-time Simulation of Foam and Sprays Based on the Weber Number

Real-time and Realistic Simulation of Large-scale Deep Ocean Wave Foams Based on GPU

Modeling and Simulation of a Dynamic Task-Based Runtime System for Heterogeneous Multi-Core Architectures

Task-based FMM for heterogeneous architectures

A two-level task scheduler on Multiple DSP system for OpenCL

Bayesian Sparse Unsupervised Learning for Probit Models of Binary Data

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)