high performance computing on graphics processing units: hgpu.org

hgpu.org » CUDA

Study, Modelling and Implementation of the Level Set Method Used in Micromachining Processes

Carles Montoliu Alvaro

View

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 560, nVidia GeForce GTX Titan, Thesis

December 19, 2015 by hgpu

Challenges Adapting CUDA PIC Codes to multiple GPUs

Olav Emil Eiksund

View

Tags: Benchmarking, CUDA, Electrostatics, FFT, nVidia, nVidia GeForce GTX 980, OpenMP, Particle simulation, Particle-in-cell methods, Physics, Plasma physics, Tesla K20, Thesis

December 19, 2015 by hgpu

Efficient Query Processing in Co-Processor-accelerated Databases

Sebastian Bress

View

Tags: Computer science, CUDA, Databases, Heterogeneous systems, nVidia, nVidia GeForce GT 640, Package, Tesla C1060, Tesla C2050, Thesis

December 19, 2015 by hgpu

A CUDA Kernel Scheduler Exploiting Static Data Dependencies

Eva Burrows

View

Tags: Computer science, CUDA, nVidia, Task scheduler

December 15, 2015 by hgpu

Run-time support for multi-level disjoint memory address spaces

Javier Bueno Hedo

View

Tags: Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 480, OmpSs, OpenMP, Thesis

December 15, 2015 by hgpu

Compressed Dynamic Mode Decomposition for Real-Time Object Detection

N. Benjamin Erichson, Steven L. Brunton, J. Nathan Kutz

View

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 950 M, Sensing

December 15, 2015 by hgpu

Transforming C OpenMP Programs for Verification in CIVL

Michael Rogers

View

Tags: Computer science, CUDA, MPI, nVidia, OpenCL, OpenMP, Pthreads, Thesis

December 10, 2015 by hgpu

MapGraph: A High Level API for Fast Development of High Performance Graph Analytics on GPUs

Zhisong Fu, Michael Personick, Bryan Thompson

View

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Package, Tesla K20

December 10, 2015 by hgpu

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu

View

Tags: Computer science, CUDA, Deep learning, Machine learning, Neural networks, nVidia, nVidia GeForce GTX Titan X, nVidia Quadro K 1200, Package, Speech recognition

December 10, 2015 by hgpu

High Performance Histograms on SIMT and SIMD Architectures

M.E.R. Berger

View

Tags: AMD Radeon R9 290X, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, nVidia GeForce GTX 660, nVidia GeForce GTX 750, OpenCL, Performance, Thesis

December 10, 2015 by hgpu

Join Execution Using Fragmented Columnar Indices on GPU and MIC

Elena V. Ivanova, Stepan O. Prikazchikov, Leonid B. Sokolinsky

View

Tags: Computer science, CUDA, Databases, Intel Xeon Phi, nVidia, Tesla K40

December 10, 2015 by hgpu

A Parallel Solver for Markov Decision Process in Crowd Simulations

Sergio Ruiz, Benjamin Hernandez

View

Tags: ARM, Computer science, Crowd simulation, CUDA, nVidia, nVidia GeForce GTX Titan, nVidia Jetson TK1, Path problems, Tesla K40, Thrust

December 9, 2015 by hgpu

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations

microSYCL: SYCL micro-benchmarks repository

Exploring SYCL as a Portability Layer for High-Performance Computing on CPUs

XaaS containers

Acceleration as a Service (XaaS) Source Containers

SYCL Container

Exploring SYCL for batched kernels with memory allocations

CASS: Cuda-Amd aSSembly

CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark

Cluser of smartphones for edge computing application using TensorFlow

Low-cost edge computing using upcycled smartphones

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Can Large Language Models Predict Parallel Code Performance?

See all packages

* * *

* * *

HGPU group © 2010-2025 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us:

contact@hpgu.org