Papers on hgpu.org (.txt-file)
Tight Binding Molecular Dynamics on CPU and GPU clusters
Tile Based Procedural Terrain Generation in Real-Time
Tile-based Lightweight Integer Compression in GPU
Tiled QR Decomposition and Its Optimization on CPU and GPU Computing System
Tiling for Performance Tuning on Different Models of GPUs
Tiling optimizations for stencil computations
Time dependent simulation of the Driven Lid Cavity at High Reynolds Number
Time Predictability of GPU Kernel on an HSA Compliant Platform
Time-stepping methods for the simulation of the self-assembly of nano-crystals in Matlab on a GPU
Time-varying clustering for local lighting and material design
TimeGraph: GPU scheduling for real-time multi-tasking environments
TinyDL: Just-In-Time Deep Learning Solution For Constrained Embedded Systems
Tiramisu: A Code Optimization Framework for High Performance Systems
Titan: A Parallel Asynchronous Library for Multi-Agent and Soft-Body Robotics using NVIDIA CUDA
TLP: A Deep Learning-based Cost Model for Tensor Program Tuning
tntorch: Tensor Network Learning with PyTorch
To Co-Run, or Not To Co-Run: A Performance Study on Integrated Architectures
To GPU Synchronize or Not GPU Synchronize?
To Use or Not to Use: Graphics Processing Units for Pattern Matching Algorithms
Togpu: Automatic Source Transformation from C++ to CUDA using Clang/LLVM
TonY: An Orchestrator for Distributed Machine Learning Jobs
Toolchain for programming, simulating and studying the XMT many-core architecture
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions
Tools for GPU Computing – Debugging and Performance Analysis of Heterogenous HPC Applications
Tools for GPU Computing–Debugging and Performance Analysis of Heterogenous HPC Applications
Tools for Reduced Precision Computation: A Survey
Top ten ways to make formal methods for HPC practical
Top-k Queries Processing With Uncertain Data on Graphics Processing Units
Topical perspective on massive threading and parallelism
TopicBERT for Energy Efficient Document Classification
Topology optimization design of 3D electrothermomechanical actuators by using GPU as a co-processor
Topology Optimization with Unstructured Meshes on Graphics Processing Units (GPUs)
Torch7: A Matlab-like Environment for Machine Learning
TorchAudio: Building Blocks for Audio and Speech Processing
TorchBench: Benchmarking PyTorch with High API Surface Coverage
Torchnet: An Open-Source Platform for (Deep) Learning Research
torchode: A Parallel ODE Solver for PyTorch
TorchOpt: An Efficient Library for Differentiable Optimization
Toward a Generic Hybrid CPU-GPU Parallelization of Divide-and-Conquer Algorithms
Toward a GPU-Accelerated Immersed Boundary Method for Wind Forecasting Over Complex Terrain
Toward a multicore architecture for real-time ray-tracing
Toward a Practical Implementation of Exemplar-Based Noise Robust ASR
Toward Acceleration of RSA Using 3D Graphics Hardware
Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks
Toward Auto-tuned Krylov Basis Computations with minimized Communication on Clusters of Accelerators
Toward Automatic Translation: From OpenACC to OpenMP 4
Toward Better Computation Models for Modern Machines
Toward efficient GPU-accelerated N-body simulations
Toward GPU Accelerated Data Stream Processing
Toward GPU-accelerated Traffic Simulation and Its Real-Time Challenge
Toward Harnessing DOACROSS Parallelism for Multi-GPGPUs
Toward improved aeromechanics simulations using recent advancements in scientific computing
Toward large-scale Hybrid Monte Carlo simulations of the Hubbard model on graphics processing units
Toward OpenCL Automatic Multi-Device Support
Toward optimised skeletons for heterogeneous parallel architecture with performance cost model
Toward Performance Portability for CPUs and GPUs Through Algorithmic Compositions
Toward Practical Real-Time Photon Mapping: Efficient GPU Density Estimation
Toward Real-Time Dense 3d Reconstruction using Stereo Vision
Toward real-time kernel density estimate display for instrumentation
Towards a Benchmarking Suite for Kernel Tuners
Towards a complete FEM-based simulation toolkit on GPUs: Geometric Multigrid solvers
Towards a Distributed GPU-Accelerated Matrix Inversion
Towards a functional run-time for dense NLA domain
Towards a GPU-based Implementation of Interaction Nets
Towards a GPU-Based Simulation Framework for Deformable Surface Meshes
Towards a GPU-Parallelization of the neXtSIM-DG Dynamical Core
Towards a More Efficient Use of GPUs
Towards a Performance-Portable FFT Library for Heterogeneous Computing
Towards a Portable and Future-proof Particle-in-Cell Plasma Physics Code
Towards a robust, real-time face processing system using CUDA-enabled GPUs
Towards a Software Transactional Memory for Graphics Processors
Towards a Tunable Multi-Backend Skeleton Programming Framework for Multi-GPU Systems
Towards a unified framework for rapid 3D computed tomography on commodity GPUs
Towards a Unified Sentiment Lexicon (USL) based on Graphics Processing Units (GPUs)
Towards a Unified Sentiment Lexicon Based on Graphics Processing Units
Towards Accelerated Computation of Atmospheric Equations Using CUDA
Towards accelerating molecular modeling via multi-scale approximation on a GPU
Towards acceleration of fault simulation using graphics processing units
Towards ad-hoc GPU acceleration of parallel eigensystem computations
Towards Adaptive GPU Resource Management for Embedded Real-Time Systems
Towards Alignment of Parallelism in SYCL and ISO C++
Towards an automatic generation of dense linear algebra solvers on parallel architectures
Towards an Effective Unified Programming Model for Many-Cores
Towards an embedded biologically-inspired machine vision processor
Towards an interactive and automated script feature analysis of 3D scanned cuneiform tablets
Towards automated kernel selection in machine learning systems: A SYCL case study
Towards Automated Learning of Object Detectors
Towards Automatic C Programs Optimization and Parallelization using the PIPS-PoCC Integration
Titles: 100
open PDFs: 94
packages: 22