high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia

HELIOS-K: An Ultrafast, Open-source Opacity Calculator for Radiative Transfer

Simon L. Grimm, Kevin Heng

View

Download (PDF)

Source codes

Tags: Astrophysics, CUDA, Earth and Planetary Astrophysics, nVidia, Package, Tesla K20

March 14, 2015 by hgpu

Accelerating DEM simulations on GPUs by reducing the impact of warp divergences

Yasuhiro Nakahara, Teruyoshi Washizawa

View

Download (PDF)

Tags: Computer science, nVidia, OpenCL, Particle simulation, Tesla M2050

March 14, 2015 by hgpu

Implementing Machine Learning Algorithms on GPUs for Real-Time Traffic Sign Classification

Dashiell Bodington, Eric Greenstein, Matthew Hu

View

Download (PDF)

Tags: Algorithms, CNN, Computer science, Computer vision, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 780

March 12, 2015 by hgpu

CUDA accelerated large scale vehicular area network simulator

Chok Meng Yip

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Tesla C2075, Tesla K20, Thesis, Vehicular traffic

March 12, 2015 by hgpu

RadixBoost: A Hardware Acceleration Structure for Scalable Radix Sort on Graphic Processors

Xingyu Liu, Shikai Li, Kuan Fang, Yufei Ni, Zonghui Li, Yangdong Deng

View

Download (PDF)

Tags: Algorithms, ASIC, Computer science, FPGA, nVidia, nVidia GeForce GTX 580, Sorting

March 12, 2015 by hgpu

Converting Data-Parallelism to Task-Parallelism by Rewrites: Purely Functional Programs Across Multiple GPUs

Bo Joel Svensson, Michael Vollmer, Eric Holk, Trevor L. McDonell, Ryan R. Newton

View

Download (PDF)

Tags: Computer science, CUDA, Data parallelism, Haskell, nVidia, Tesla C2075

March 8, 2015 by hgpu

An Empirical Performance Evaluation of GPU-Enabled Graph-Processing Systems

Yong Guo, Ana Lucia Varbanescu, Alexandru Iosup, Dick Epema

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Performance, Tesla K20

March 8, 2015 by hgpu

HPerf: A Lightweight Profiler for Task Distribution on CPU+GPU Platforms

Joo Hwan Lee, Nimit Nigania, Hyesoon Kim, Bevin Brett

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, nVidia, nVidia Quadro 2000, OpenCL, Performance

March 8, 2015 by hgpu

Generating Performance Portable Code using Rewrite Rules: From High-level Functional Expressions to High-Performance OpenCL Code

Michel Steuwer, Christian Fensch, Sam Lindley, Christophe Dubach

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, Code generation, Compilers, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL

March 8, 2015 by hgpu

Lyra2: Password Hashing Scheme with improved security against time-memory trade-offs

Marcos A. Simplicio Jr., Leonardo C. Almeida, Ewerton R. Andrade, Paulo C. F. dos Santos, and Paulo S. L. M. Barreto

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX Titan, Security

March 6, 2015 by hgpu

High-Performance Computation of a Jet in Cross Flow by Lattice Boltzmann Based Parallel Direct Numerical Simulation

Jiang Lei, Xian Wang, Gongnan Xie

View

Download (PDF)

Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, Numerical simulation, nVidia, Tesla K20

March 6, 2015 by hgpu

PONDER – A Real time software backend for pulsar and IPS observations at the Ooty Radio Telescope

Arun Naidu, B.C Joshi, P.K Manoharan, M.A Krishnakumar

View

Download (PDF)

Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Tesla K20

March 6, 2015 by hgpu

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

HELIOS-K: An Ultrafast, Open-source Opacity Calculator for Radiative Transfer

Accelerating DEM simulations on GPUs by reducing the impact of warp divergences

Implementing Machine Learning Algorithms on GPUs for Real-Time Traffic Sign Classification

CUDA accelerated large scale vehicular area network simulator

RadixBoost: A Hardware Acceleration Structure for Scalable Radix Sort on Graphic Processors

Converting Data-Parallelism to Task-Parallelism by Rewrites: Purely Functional Programs Across Multiple GPUs

An Empirical Performance Evaluation of GPU-Enabled Graph-Processing Systems

HPerf: A Lightweight Profiler for Task Distribution on CPU+GPU Platforms

Generating Performance Portable Code using Rewrite Rules: From High-level Functional Expressions to High-Performance OpenCL Code

Lyra2: Password Hashing Scheme with improved security against time-memory trade-offs

High-Performance Computation of a Jet in Cross Flow by Lattice Boltzmann Based Parallel Direct Numerical Simulation

PONDER – A Real time software backend for pulsar and IPS observations at the Ooty Radio Telescope

Recent source codes

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

ThunderKittens: Tile primitives for speedy kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

Most viewed papers (last 30 days)