high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Accelerating Database Query Processing on OpenCL-based FPGAs

Zeke Wang, Johns Paul, Huiyan Cheah, Bingsheng He, Wei Zhang

View

Download (PDF)

Tags: Computer science, Databases, FPGA, OpenCL

July 30, 2016 by hgpu

Towards Predictable Real-Time Performance on Multi-Core Platforms

Hyoseung Kim

View

Download (PDF)

Tags: Computer science, Performance, Sensing, Thesis, Virtualization

July 30, 2016 by hgpu

Particle-in-cell algorithms for plasma simulations on heterogeneous architectures

Xavier Saez Pous

View

Download (PDF)

Tags: ARM, Computational Physics, Computer science, Heterogeneous systems, MPI, OpenCL, Particle-in-cell methods, Plasma physics, Thesis

July 30, 2016 by hgpu

An Autotuning Framework for Intel Xeon Phi Platforms

Lefteris Christoforidis

View

Download (PDF)

Source codes

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

July 30, 2016 by hgpu

PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures

Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Jialin Liu, Peter Sadowski, Evan Racah, Suren Byna, Craig Tull, Wahid Bhimji, Prabhat, Pradeep Dubey

View

Download (PDF)

Tags: Algorithms, classification, Computer science, Data mining, Intel Xeon Phi, KD-tree, Machine learning, Nearest neighbour

July 30, 2016 by hgpu

Many-Core Algorithms for Combinatorial Optimization

Francesco Strappaveccia

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 570, nVidia GeForce GTX 770, nVidia GeForce GTX Titan, OpenMP, Optimization, Path problems, Thesis

July 28, 2016 by hgpu

Genetic Improvement of GPU Software

William B. Langdon, Brian Yee Hong Lam, Marc Modat, Justyna Petke, Mark Harman

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 580, Tesla C2050, Tesla K20, Tesla T10

July 28, 2016 by hgpu

Real-Time Stochastic Kinodynamic Motion Planning via Multiobjective Search on GPUs

Brian Ichter, Edward Schmerling, Ali-akbar Agha-mohammadi, Marco Pavone

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 980, Package, Robotics

July 28, 2016 by hgpu

FPGA-Based Accelerator Design from a Domain-Specific Language

M. Akif Ozkan, Oliver Reiche, Frank Hannig, Jurgen Teich

View

Download (PDF)

Tags: Algorithms, Computer vision, FPGA, Heterogeneous systems, Image processing, nVidia, nVidia Jetson TK1, OpenCL, Tesla K20

July 26, 2016 by hgpu

Gerbil: A Fast and Memory-Efficient k-mer Counter with GPU-Support

Marius Erbert, Steffen Rechner, Matthias Muller-Hannemann

View

Download (PDF)

Source codes

Tags: Bioinformatics, Biology, Computer science, CUDA, nVidia, nVidia GeForce GTX 970, nVidia GeForce GTX Titan, Package

July 26, 2016 by hgpu

GPU-accelleration of image rendering and sorting algorithms with the OpenCL framework

Anders Soderholm, Justus Sorman

View

Download (PDF)

Tags: Algorithms, Computer science, Heterogeneous systems, Image processing, Intel HD 4600, OpenCL, Rendering, Sorting, Thesis

July 26, 2016 by hgpu

Algorithmic Trading: A brief, computational finance case study on data centre FPGAs

Gordon Inggs

View

Download (PDF)

Tags: AMD FirePro W5000, ATI, Computational finance, Computer science, Finance, FPGA, nVidia, nVidia Quadro K4000, OpenCL

July 20, 2016 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Accelerating Database Query Processing on OpenCL-based FPGAs

Towards Predictable Real-Time Performance on Multi-Core Platforms

Particle-in-cell algorithms for plasma simulations on heterogeneous architectures

An Autotuning Framework for Intel Xeon Phi Platforms

PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures

Many-Core Algorithms for Combinatorial Optimization

Genetic Improvement of GPU Software

Real-Time Stochastic Kinodynamic Motion Planning via Multiobjective Search on GPUs

FPGA-Based Accelerator Design from a Domain-Specific Language

Gerbil: A Fast and Memory-Efficient k-mer Counter with GPU-Support

GPU-accelleration of image rendering and sorting algorithms with the OpenCL framework

Algorithmic Trading: A brief, computational finance case study on data centre FPGAs

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Most viewed papers (last 30 days)