high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Faster Maliciously Secure Two-Party Computation Using the GPU

Tore Kasper Frederiksen, Thomas P. Jakobsen, Jesper Buus Nielsen

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 670, Security

April 22, 2014 by hgpu

Parallel In-Memory Distance Threshold Queries on Trajectory Databases

Michael Gowanlock, Henri Casanova, David Schanzenbach

View

Download (PDF)

Tags: Computer science, Databases, nVidia, OpenCL, Tesla C2075

April 22, 2014 by hgpu

Interactive Isogeometric Volume Visualization with Pixel-Accurate Geometry

Franz G. Fuchs, Jon M. Hjelmervik, Erik C. Dyken, Erik W. Bjonnes

View

Download (PDF)

Tags: Algorithms, Computer science, Differential equations, nVidia, nVidia GeForce GTX 680, ODEs, OpenGL, Ordinary differential equations, Rendering, Visualization

April 22, 2014 by hgpu

Measuring the evolving Internet ecosystem with exchange points

Mohammad Zubair Ahmad

View

Download (PDF)

Tags: Computer science, CUDA, Machine learning, Networks, nVidia, nVidia GeForce 9400, nVidia GeForce GTX 260 M, Thesis

April 22, 2014 by hgpu

GPU Encrypt: AES Encryption on Mobile Devices

James Gleeson, Sreekumar Rajan, Vandana Saini

View

Download (PDF)

Tags: AES, Computer science, OpenCL, Security

April 21, 2014 by hgpu

Toward optimised skeletons for heterogeneous parallel architecture with performance cost model

Khari A. Armih

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MapReduce, Matrix multiplication, nVidia, nVidia GeForce GT 520, Thesis

April 21, 2014 by hgpu

SWAPHI: Smith-Waterman Protein Database Search on Xeon Phi Coprocessors

Yongchao Liu, Bertil Schmidt

View

Download (PDF)

Source codes

Tags: Computer science, Intel Xeon Phi, Package, Smith-Waterman algorithm

April 21, 2014 by hgpu

Fast Efficient Artificial Neural Network for Handwritten Digit Recognition

Viragkumar N. Jagtap, Shailendra K. Mishra

View

Download (PDF)

Tags: Computer science, CUDA, Image recognition, Neural networks, nVidia, nVidia GeForce GT 630

April 21, 2014 by hgpu

Sparser, Better, Faster GPU Parsing

David Hall, Taylor Berg-Kirkpatrick, John Canny, Dan Klein

View

Download (PDF)

Source codes

Tags: Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Performance

April 21, 2014 by hgpu

A GPU-Based Enhanced Genetic Algorithm for Power-Aware Task Scheduling Problem in HPC Cloud

Nguyen Quang-Hung, Le Thanh Tan, Chiem Thach Phat, Nam Thoai

View

Download (PDF)

Tags: Cloud, Computer science, CUDA, nVidia, Probability, Task scheduling, Tesla M2090

April 21, 2014 by hgpu

GACO: A GPU-based High Performance Parallel Multi-ant Colony Optimization Algorithm

Fan Li, Ming-lu Jin

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Nearest neighbour, nVidia, Optimization, Tesla C1060, Tesla C2050

April 21, 2014 by hgpu

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

M.Wozniak, K.Kuznik, M. Paszynski, V. M. Calo, D. Pardo

View

Download (PDF)

Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 780, Performance, Tesla C2070

April 21, 2014 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Faster Maliciously Secure Two-Party Computation Using the GPU

Parallel In-Memory Distance Threshold Queries on Trajectory Databases

Interactive Isogeometric Volume Visualization with Pixel-Accurate Geometry

Measuring the evolving Internet ecosystem with exchange points

GPU Encrypt: AES Encryption on Mobile Devices

Toward optimised skeletons for heterogeneous parallel architecture with performance cost model

SWAPHI: Smith-Waterman Protein Database Search on Xeon Phi Coprocessors

Fast Efficient Artificial Neural Network for Handwritten Digit Recognition

Sparser, Better, Faster GPU Parsing

GACO: A GPU-based High Performance Parallel Multi-ant Colony Optimization Algorithm

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

Most viewed papers (last 30 days)