Papers on hgpu.org (.txt-file)
Combining Multiple Optimised FPGA-based Pulsar Search Modules Using OpenCL
Combining recent HPC techniques for 3D geophysics acceleration
Combustion Simulations Using Graphic Processing Units
Coming Soon: Research in a Cloud
Communication and Coordination Paradigms for Highly-Parallel Accelerators
Communication Architectures for Scalable GPU-centric Computing Systems
Communication Optimization for Multi GPU Implementation of Smith-Waterman Algorithm
Communication-Avoiding Optimization of Geometric Multigrid on GPUs
Communication-avoiding QR decomposition for GPUs
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey
Communication-Minimizing 2D Convolution in GPU Registers
Communication-minimizing Asynchronous Tensor Parallelism
Community Structure Discovery algorithm on GPU with CUDA
Compact data structure and scalable algorithms for the sparse grid technique
Comparative Analysis of OpenACC, OpenMP and CUDA using Sequential and Parallel Algorithms
Comparative Evaluation of Binary Features
Comparative evaluation of platforms for parallel Ant Colony Optimization
Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU
Comparative Performance and Scalability Analysis of GPU-accelerated Database Operations
Comparative Study of Caffe, Neon, Theano, and Torch for Deep Learning
Comparative Study of Frequent Itemset Mining Techniques on Graphics Processor
Comparative Study of High Performance Computing Using Multi-core Parallel Systems
Comparative study of parallel programming models for multicore computing
Comparative Study of the Parallelization of the Smith-Waterman Algorithm on OpenMP and Cuda C
Comparing CUDA and OpenGL implementations for a Jacobi iteration
Comparing CUDA, OpenCL and OpenGL Implementations of the Cardiac Monodomain Equations
Comparing Energy Efficiency of CPU, GPU and FPGA Implementations for Vision Kernels
Comparing FPGAs to Graphics Accelerators and the Playstation 2 Using a Unified Source Description
Comparing GPU and CPU in OLAP Cubes Creation
Comparing GPU-based multi-volume ray casting techniques
Comparing Hardware Accelerators in Scientific Applications: A Case Study
Comparing Linear and Convex Relaxations for Stereo and Motion
Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation
Comparing Many-Core Accelerator Frameworks
Comparing Parallel Functional Array Languages: Programming and Performance
Comparing Parallel Hardware Architectures for Visually Guided Robot Navigation
Comparing Parallel Simulation of Social Agents using Cilk and OpenCL
Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing
Comparing Programmer Productivity in OpenACC and CUDA: an Empirical Investigation
Comparing SYCL data transfer strategies for tracking use cases
Comparing the Power and Performance of Intel’s SCC to State-of-the-Art CPUs and GPUs
Comparing Two Generations of Embedded GPUs Running a Feature Detection Algorithm
Comparison and Analysis of GPGPU and Parallel Computing on Multi-Core CPU
Comparison and Analysis of GPU Energy Effciency For CUDA and OpenCL
Comparison and Analysis of GPU Energy Efficiency For CUDA and OpenCL
Comparison based sorting for systems with multiple GPUs
Comparison between GPU and parallel CPU optimizations in viewshed analysis
Comparison of Cilk, Kaapi and CUDA for the Jacobi Method
Comparison of CPML Implementations for the GPU-Accelerated FDTD Solver
Comparison of different n-body algorithms on various hardware platforms using SYCL
Comparison of FPGA and GPU implementations of real-time stereo vision
Comparison of Fragmentation/Dispersion Models for Asteroid Nuclear Disruption Mission Design
Comparison of GPU Architectures for Asynchronous Communication with Finite-Differencing Applications
Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms
Comparison of OpenCL performance on different platforms using VexCL and Blaze
Comparison of OpenMP & OpenCL Parallel Processing Technologies
Comparison of OpenMP and OpenCL Parallel Processing Technologies
Comparison of parallel sorting algorithms
Comparison of Random Number Generators in Particle Swarm Optimization Algorithm
Comparison of Rectangular Matrix Multiplication with and without Border Conditions
Comparison of several parallel API for cloth modelling on modern GPUs
Comparison of Technologies for General-Purpose Computing on Graphics Processing Units
Comparison of Thread Execution Methods for GPU-oriented OpenCL Programs on Multicore Processors
COMPASS: a programmable data prefetcher using idle GPU shaders
Compensated Visual Hull for Defective Segmentation and Occlusion
Compensated Visual Hull with GPU-Based Optimization
Compensating Indirect Scattering for Immersive and Semi-Immersive Projection Displays
Competing computational approaches to reaction-diffusion equations in clusters of cells
Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms
Compilation for Heterogeneous Computing: Automating Analyses, Transformations and Decisions
Compilation techniques and language support to facilitate dependence-driven computation
Compile-time GPU memory access optimizations
Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework
Compiler and Runtime Systems for Generative AI Models
Compiler and runtime techniques for bulk-synchronous programming models on CPU architectures
Compiler Assisted Runtime Adaptation
Compiler Fuzzing through Deep Learning
Compiler optimizations for directive-based programming for accelerators
Compiler Optimizations for Industrial Unstructured Mesh CFD Applications on GPUs
Compiler Optimizations for SIMD/GPU/Multicore Architectures
Compiler support for general-purpose computation on GPUs
Compiler Support for High-level GPU Programming
Compiler Support for Speculation in Decoupled Access/Execute Architectures
Compiler Technologies in Deep Learning Co-Design: A Survey
Compiler-assisted distribution of OpenMP code for improved scalability
Compiler-Assisted Workload Consolidation For Efficient Dynamic Parallelism on GPU
Compiler-centric across-stack deep learning acceleration
Titles: 100
open PDFs: 94
packages: 17