Programming

hgpu.org » Programming

Unsupervised Asset Cluster Analysis Implemented with Parallel Genetic Algorithms on the NVIDIA CUDA Platform

Dariusz Cieslakiewicz

View

Tags: Algorithms, Cluster analysis, Clustering, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 660 M, Thesis

July 18, 2014 by hgpu

Implementation & Parallelisation of FDTD code for Electromagnetic Scattering

Deshpande Varadendra Ravindra

View

Download (PDF)

Tags: Algorithms, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, MPI, nVidia, OpenMPI, Tesla C2070, Thesis

July 18, 2014 by hgpu

GPU acceleration of Runge Kutta-Fehlberg and its comparison with Dormand-Prince method

Wo Mei Seen, R. U. Gobithaasan, Kenjiro T. Miura

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GT 540 M, ODEs, Ordinary differential equations

July 18, 2014 by hgpu

Efficient On-the-fly Category Retrieval using ConvNets and GPUs

Ken Chatfield, Karen Simonyan, Andrew Zisserman

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, Machine learning, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX Titan, Pattern recognition

July 18, 2014 by hgpu

Suitability of NVIDIA GPUs for SKA1-Low

Alessio Magro, Kristian Zarb Adami, Mike Clark, Steve Ord

View

Download (PDF)

Tags: Astrophysics, CUDA, FPGA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 750 Ti, Signal processing, Tesla K40

July 18, 2014 by hgpu

Efficient implementation of computationally intensive algorithms on parallel computing platforms

Csaba Nemes

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 570, Tesla K20, Thesis

July 17, 2014 by hgpu

Rapid Modelling of Interactive Geological Illustrations with Faults and Compaction

Mattia Natali, Julius Parulek, Daniel Patel

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia, OpenGL, Visualization

July 17, 2014 by hgpu

The Use of GPUs for Solving the Computed Tomography Problem

A.E. Kovtanyuk

View

Download (PDF)

Tags: Computed tomography, CT, CUDA, Image processing, nVidia, nVidia GeForce GTX 660 M, nVidia GeForce GTX 690, Tomography

July 17, 2014 by hgpu

Energy-Efficient Collective Reduce and Allreduce Operations on Distributed GPUs

Lena Oden, Benjamin Klenk, Holger Froning

View

Download (PDF)

Tags: Computer science, CUDA, Distributed computing, Energy-efficient computing, Heterogeneous systems, nVidia, Tesla K20

July 17, 2014 by hgpu

Optimal Periods for Probing Convergence of Infinite-stage Dynamic Programmings on GPUs

Tsutomu Inamoto, Yoshinobu Higami, Shin-ya Kobayashi

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Performance

July 17, 2014 by hgpu

GPUdrive: Reconsidering Storage Accesses for GPU Acceleration

Mustafa Shihab, Karl Taht, Myoungsoo Jung

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Storage system

July 16, 2014 by hgpu

Interactive GPU Ray Casting using Progressive Blue Noise Sampling

R. Gmyr, S. Arens, G. Domik

View

Download (PDF)

Tags: Algorithms, Computer science, GLSL, OpenGL, Visualization

July 16, 2014 by hgpu

Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Programming

Unsupervised Asset Cluster Analysis Implemented with Parallel Genetic Algorithms on the NVIDIA CUDA Platform

Implementation & Parallelisation of FDTD code for Electromagnetic Scattering

GPU acceleration of Runge Kutta-Fehlberg and its comparison with Dormand-Prince method

Efficient On-the-fly Category Retrieval using ConvNets and GPUs

Suitability of NVIDIA GPUs for SKA1-Low

Efficient implementation of computationally intensive algorithms on parallel computing platforms

Rapid Modelling of Interactive Geological Illustrations with Faults and Compaction

The Use of GPUs for Solving the Computed Tomography Problem

Energy-Efficient Collective Reduce and Allreduce Operations on Distributed GPUs

Optimal Periods for Probing Convergence of Infinite-stage Dynamic Programmings on GPUs

GPUdrive: Reconsidering Storage Accesses for GPU Acceleration

Interactive GPU Ray Casting using Progressive Blue Noise Sampling

Recent source codes

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

INT v.s. FP: A framework to compare low-bit integer and float-point formats

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

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

Most viewed papers (last 30 days)