high performance computing on graphics processing units: hgpu.org

Papers on hgpu.org (.txt-file)

Auto-Tuning CUDA Parameters for Sparse Matrix-Vector Multiplication on GPUs

Auto-Tuning Dedispersion for Many-Core Accelerators

Auto-tuning Dense Matrix Multiplication for GPGPU with Cache

Auto-tuning Dense Vector and Matrix-Vector Operations for Fermi GPUs

Auto-tuning Hybrid CPU-GPU Execution of Algorithmic Skeletons in SkePU

Auto-tuning interactive ray tracing using an analytical GPU architecture model

Auto-tuning of fast fourier transform on graphics processors

Auto-Tuning of Level 1 and Level 2 BLAS for GPUs

Auto-tuning on the macro scale: high level algorithmic auto-tuning for scientific applications

Auto-tuning Shallow water simulations on GPUs

Auto-tuning SkePU: a multi-backend skeleton programming framework for multi-GPU systems

Auto-tuning Streamed Applications on Intel Xeon Phi

Auto-Tunning of Data Communication on Heterogeneous Systems

Auto-Vectorizing a Large-scale Production Unstructured-mesh CFD Application

AutoDDL: Automatic Distributed Deep Learning with Asymptotically Optimal Communication

AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

AutoMat – Automatic Differentiation for Generalized Standard Materials on GPUs

Automated and interactive approaches for optimal surface finding based segmentation of medical image data

Automated and parallel code generation for finite-differencing stencils with arbitrary data types

Automated Architecture Design for Deep Neural Networks

Automated architecture-aware mapping of streaming applications onto GPUs

Automated Buffer Sizing of Dataflow Applications in a High-Level Synthesis Workflow

Automated C/C++ Program Repair for High-Level Synthesis via Large Language Models

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

Automated development of applications for graphical processing units using rewriting rules

Automated Dynamic Analysis of CUDA Programs

Automated Enhanced Parallelization of Sequential C to Parallel OpenMP

Automated Generation of OpenCL Programs Based on Algebra-Algorithmic Approach

Automated GPU Kernel Transformations in Large-Scale Production Stencil Applications

Automated image alignment for 2D gel electrophoresis in a high-throughput proteomics pipeline

Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning Method

Automated Partitioning of Data-Parallel Kernels using Polyhedral Compilation

Automated pose estimation in 3D point clouds applying annealing particle filters and inverse kinematics on a GPU

Automated Runtime Analysis and Adaptation for Scalable Heterogeneous Computing

Automated Software Testing of Memory Performance in Embedded GPUs

Automated Techniques for Enabling Efficient MPI Application Migration

Automated test generation for OpenCL kernels using fuzzing and constraint solving

Automated Testing of Graphics Shader Compilers

Automated Tool to Generate Parallel CUDA code from a Serial C Code

Automatic abstraction and fault tolerance in cortical microachitectures

Automatic acceleration of Numpy applications on GPUs and multicore CPUs

Automatic and Explicit Parallelization Approaches for Mathematical Simulation Models

Automatic and portable mapping of data parallel programs to OpenCL for GPU-based heterogeneous systems

Automatic bi-layer video segmentation based on sensor fusion

Automatic BLAS Offloading on Unified Memory Architecture: A Study on NVIDIA Grace-Hopper

Automatic C-to-CUDA Code Generation for Affine Programs

Automatic classification of object code using machine learning

Automatic Code Generation and Adaptive Grid Scheduling for GPU Cluster Computing

Automatic code generation and tuning for stencil kernels on modern shared memory architectures

Automatic code generation for solvers of cardiac cellular membrane dynamics in GPUs

Automatic Code Generation for Stencil Computations on GPU Architectures

Automatic code generation methods applied to numerical linear algebra in high performance computing

Automatic Code Rewriting for Performance Portability

Automatic Command Queue Scheduling for Task-Parallel Workloads in OpenCL

Automatic Compilation for Heterogeneous Architectures with Single Assignment C

Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors

Automatic Compiler Based FPGA Accelerator for CNN Training

Automatic contention detection and amelioration for data-intensive operations

Automatic CPU-GPU communication management and optimization

Automatic CUDA Code Synthesis Framework for Multicore CPU and GPU architectures

Automatic Data Layout Generation and Kernel Mapping for CPU+GPU Architectures

Automatic Data Layout Optimizations for GPUs

Automatic data movement and computation mapping for multi-level parallel architectures with explicitly managed memories

Automatic Detection and Denoising of Signals in Large Geophysical Datasets

Automatic Discovery of Algorithms for Multi-Agent Systems

Automatic Dynamic Task Distribution between CPU and GPU for Real-Time Systems

Automatic efficient data layout for multithreaded stencil codes on CPUs and GPUs

Automatic fitting of spiking neuron models to electrophysiological recordings

Automatic Fusions of CUDA-GPU Kernels for Parallel Map

Automatic Generation Of Application-Specific Accelerators for FPGAs from Python Loop Nests

Automatic generation of CUDA code performing tensor manipulations using C++ expression templates

Automatic Generation of FFT Libraries for GPU Platforms

Automatic generation of heterogeneous spectrometers for radio astronomy

Automatic Generation of Multicore Chemical Kernels

Automatic Generation of OpenCL Code for ARM Architectures

Automatic Generation of OpenCL Code through Polyhedral Compilation with LLM

Automatic generation of software pipelines for heterogeneous parallel systems

Automatic generation of warp-level primitives and atomic instructions for fast and portable parallel reduction on GPUs

Automatic GPU optimization through higher-order functions in functional languages

Automatic Hepatic Vessel Segmentation Using Graphics Hardware

Automatic Implementation of Evolutionary Algorithms on GPUs using ESDL

Automatic Kernel Generation for Volta Tensor Cores

Automatic library generation for BLAS3 on GPUs

Automatic Loop Partitioning for Heterogeneous Systems

Automatic Mapping for OpenCL-Programs on CPU/GPU Heterogeneous Platforms

Automatic Mapping of Stream Programs on Multicore Architectures

Automatic Multi-Camera Setup Optimization for Optical Tracking

Automatic Multi-GPU Code Generation applied to Simulation of Electrical Machines

Automatic NUMA Characterization using Cbench

Automatic Online Tuning (AutoTune): Fully Extended Analysis

Automatic OpenCL code generation for multi-device heterogeneous architectures

Automatic OpenCL Device Characterization: Guiding Optimized Kernel Design

Automatic OpenCL Task Adaptation for Heterogeneous Architectures

Automatic Optimization of In-Flight Memory Transactions for GPU Accelerators based on a Domain-Specific Language for Medical Imaging

Automatic Optimization of OpenCL-Based Stencil Codes for FPGAs and Its Evaluation

Automatic Optimization of Thread Mapping for a GPGPU Programming Framework

Automatic Parallelization for GPUs

Automatic parallelization for graphics processing units

Automatic Parallelization for Heterogeneous Embedded Systems

Automatic Parallelization of a Gap Model using Java and OpenCL

 

Titles: 100

open PDFs: 95

packages: 16