Papers on hgpu.org (.txt-file)
Theano-MPI: a Theano-based Distributed Training Framework
Theano: A CPU and GPU Math Compiler in Python
Theano: A Python framework for fast computation of mathematical expressions
Theano: Deep Learning on GPUs with Python
TheanoLM – An Extensible Toolkit for Neural Network Language Modeling
Themis: Fair and Efficient GPU Cluster Scheduling for Machine Learning Workloads
Theory of square, rectangular, and microband electrodes through explicit GPU simulation
Thermal and Athermal Swarms of Self-Propelled Particles
Thermal Safety and Real-Time Predictability on Heterogeneous Embedded SoC Platforms
Theseus: A Library for Differentiable Nonlinear Optimization
Thickness computation of trimmed B-Rep model using GPU ray tracing
THOR: A New and Flexible Global Circulation Model to Explore Planetary Atmospheres
THOR: A Transparent Heterogeneous Open Resource framework
Thorough Evaluation of GPU Shared Memory Load and Store Instructions
Thousand core chips: a technology perspective
Thread Block Compaction for Efficient SIMT Control Flow
Thread-safe lattice Boltzmann for high-performance computing on GPUs
Thread-Scalable Evaluation of Multi-Jet Observables
Three Contributions to the Theory and Practice of Optimizing Compilers
Three Dimensional Fast Fourier Transform CUDA Implementation
Three dimensional tracking of gold nanoparticles using digital holographic microscopy
Three storage formats for sparse matrices on GPGPUs
Three-Dimension Fountain Simulation Based on GPU and Particle System
Three-Dimensional Image Warping on Programmable Graphics Hardware
Three-dimensional LBM simulations of buoyancy-driven flow using Graphics processing units
Three-Dimensional Modeling of Long-Wave Runup: Simulation of Tsunami Inundation with GPU-SPHysics
Throughput-Effective On-Chip Networks for Manycore Accelerators
ThunderGBM: Fast GBDTs and Random Forests on GPUs
ThunderSVM: A Fast SVM Library on GPUs and CPUs
Thwarting Piracy: Anti-debugging Using GPU-assisted Self-healing Codes
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
Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation
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
Titles: 100
open PDFs: 96
packages: 32