high performance computing on graphics processing units: hgpu.org

Papers on hgpu.org (.txt-file)

Matrix Factorization on GPUs with Memory Optimization and Approximate Computing

Matrix inversion speed up with CUDA

Matrix Multiplication Beyond Auto-Tuning: Rewrite-based GPU Code Generation

Matrix Multiplication on GPUs with On-Line Fault Tolerance

Matrix Multiplication Using Only Addition

Matrix Multiplication with CUDA – A basic introduction to the CUDA programming model

Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs

Matrix-Matrix Multiplications on GPUs for Accelerating a Parallel Fluid Dynamics Code

maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUs

Maximal Information Coefficient Analysis

Maximize Performance on GPUs Using the Rake-based Optimization: A Case Study

Maximizing Parallelism and GPU Utilization For Direct GPU Compilation Through Ensemble Execution

Maximum likelihood event estimation and list-mode image reconstruction on GPU hardware

Maximum mipmaps for fast, accurate, and scalable dynamic height field rendering

MaxSSmap: A GPU program for short read mapping with the maximum scoring subsequence

MC-RANSAC: A Pre-processing Model for RANSAC using Monte Carlo method implemented on a GPU

MCBooster: a library for fast Monte Carlo generation of phase-space decays on massively parallel platforms

MCMini: Monte Carlo on GPGPU

MCS 572: Introduction to Supercomputing

MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

MCUDA: An Efficient Implementation of CUDA Kernels on Multi-cores

md_poly: A Performance-Portable Polyhedral Compiler Based on Multi-Dimensional Homomorphisms

MDLab: A molecular dynamics simulation prototyping environment

MDR: performance model driven runtime for heterogeneous parallel platforms

Mean shift for graph bundling

Mean Shift Parallel Tracking on GPU

Measurement and Analysis of GPU-accelerated Applications with HPCToolkit

Measurements of performance of hardware and general purpose classical molecular dynamics simulation software

Measuring Bandwidth for Super Computer Workloads

Measuring the evolving Internet ecosystem with exchange points

Measuring the Impact of Configuration Parameters in CUDA Through Benchmarking

Measuring the Performance of Realtime DSP Using Pure Data and GPU

Mechanical Characterization and Performance Optimization for GPU Fan-Sink Cooling Module Assembly

Median Based Parallel Steering Kernel Regression for Image Reconstruction

Medical Image Registration using OpenCL

Medical imaging using CUDA

MEDINA: MECCA Development in Accelerators – KPP Fortran to CUDA source-to-source Preprocessor

Medium-Grained Functions Mapping using Modern GPUs

Medusa: A Parallel Graph Processing System on Graphics Processors

Medusa: Simplified Graph Processing on GPUs

Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores

MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph

Megakernels Considered Harmful: Wavefront Path Tracing on GPUs

Megapixel Topology Optimization on a Graphics Processing Unit

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Melia: A MapReduce Framework on OpenCL-based FPGAs

MELT-a Translated Domain Specific Language Embedded in the GCC Compiler

MemAscend: System Memory Optimization for SSD-Offloaded LLM Fine-Tuning

MemcachedGPU: Scaling-up Scale-out Key-value Stores

Memory Access Optimized Implementation of Cyclic and Quasi-Cyclic LDPC Codes on a GPGPU

Memory Bandwidth and Latency in HPC: System Requirements and Performance Impact

Memory Bandwidth Efficient Two-Dimensional Fast Fourier Transform Algorithm and Implementation for Large Problem Sizes

Memory Efficient Mixed-Precision Optimizers

Memory Interference and Performance Prediction in GPU-Accelerated Heterogeneous Systems

Memory layout in GPU implementation of lattice Boltzmann method for sparse 3D geometries

Memory Optimization for Deep Networks

Memory Saving Discrete Fourier Transform on GPUs

Memory transfer optimization for a lattice Boltzmann solver on Kepler architecture nVidia GPUs

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

Memory-efficient Adaptive Subdivision for Software Rendering on the GPU

Memory-efficient implementation of a graphics processor-based cluster detection algorithm for large spatial databases

Memory-Efficient Implementation of DenseNets

Memory-Efficient Object-Oriented Programming on GPUs

Memory-Efficient Single-Pass GPU Rendering of Multi-fragment Effects

Memory-level and Thread-level Parallelism Aware GPU Architecture Performance Analytical Model

Memory-Scalable GPU Spatial Hierarchy Construction

Merge or Separate? Multi-job Scheduling for OpenCL Kernels on CPU/GPU Platforms

Merge: a programming model for heterogeneous multi-core systems

Mersenne Twister Random Number Generation on FPGA, CPU and GPU

Mesh deformations in X3D via CUDA with freeform deformation lattices

Mesh Independent Loop Fusion for Unstructured Mesh Applications

Mesh mutation in programmable graphics hardware

Meshfree/GFEM in hardware-efficiency prospective

Message passing for GPGPU clusters: CudaMPI

Message Passing Interface support for the runtime adaptive multi-processor system-on-chip RAMPSoC

Message passing on data-parallel architectures

Meta Networks for Neural Style Transfer

Meta-Programming and Auto-Tuning in the Search for High Performance GPU Code

Meta-programming and Multi-stage Programming for GPGPUs

Meta-simulation of large WSN on multi-core computers

MetaBinG: Using GPUs to Accelerate Metagenomic Sequence Classification

MetaCL – A Model-Based Approach to Programming Heterogeneous Architectures Using OpenCL

MetaFork: A Compilation Framework for Concurrency Models Targeting Hardware Accelerators and Its Application to the Generation of Parametric CUDA Kernels

MetaMorph: A Library Framework for Interoperable Kernels on Multi- and Many-core Clusters

Metamorphic Testing for (Graphics) Compilers

Metaprogramming GPUs with Sh

Method for simulation of coastal terrain on GPU

Methodology of control and supervision of web connected mobile robots with CUDA technology application

Methods and Metrics for Fair Server Assessment under Real-Time Financial Workloads

Methods for Accelerating Machine Learning in High Performance Computing

Methods for GPU Acceleration of Big Data Applications

Methods for Optimizing OpenCL Applications on Heterogeneous Multicore Architectures

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring

MGPUSim: Enabling Multi-GPU Performance Modeling and Optimization

MIC-SVM: Designing A Highly Efficient Support Vector Machine For Advanced Modern Multi-Core and Many-Core Architectures

MICA: A fast short-read aligner that takes full advantage of Intel Many Integrated Core Architecture (MIC)

Microarchitectural Performance Characterization of Irregular GPU Kernels

Microbenchmarking NVIDIA’s Blackwell Architecture: An in-depth Architectural Analysis

Microbenchmarks for GPU characteristics: the occupancy roofline and the pipeline model

Microbranching in mode-I fracture using large scale simulations of amorphous and perturbed lattice models

 

Titles: 100

open PDFs: 91

packages: 30