high performance computing on graphics processing units: hgpu.org

Papers on hgpu.org (.txt-file)

Decoupled Access/Execute Metaprogramming for GPU-Accelerated Systems

Decoupled Block-Wise ILU(k) Preconditioner on GPU

Decoupled Deferred Shading for Hardware Rasterization

Decoupled Vector-Fetch Architecture with a Scalarizing Compiler

Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines

Decoupling algorithms from the organization of computation for high performance image processing

Decreasing NAME III Solution Time Using GP-GPU

Decryption-decompression of AES protected ZIP files on GPUs

Deductive verification for SYCL

Deep and Shallow convections in Atmosphere Models on Intel Xeon Phi Coprocessor Systems

Deep API Learning

Deep Architectures for Neural Machine Translation

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

Deep Convolutional Network evaluation on the Intel Xeon Phi: Where Subword Parallelism meets Many-Core

Deep convolutional networks for pancreas segmentation in CT imaging

Deep Convolutional Neural Networks for Smile Recognition

Deep Dynamic Neural Networks for Gesture Segmentation and Recognition

Deep Feature-based Face Detection on Mobile Devices

Deep Fluids: A Generative Network for Parameterized Fluid Simulations

Deep Graph Learning for Program Analysis and System Optimization

Deep Graph Library Optimizations for Intel(R) x86 Architecture

Deep In-GPU Experience Replay

Deep Language Models for Software Testing and Optimisation

Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing

Deep Learning Application in Plant Stress Imaging: A Review

Deep Learning Approaches to Source Code Analysis for Optimization of Heterogeneous Systems: Recent Results, Challenges and Opportunities

Deep Learning At Scale and At Ease

Deep Learning Based FPGA-CPU Acceleration

Deep Learning by Doing: The NVIDIA Deep Learning Institute and University Ambassador Program

Deep Learning for Compilers

Deep Learning for Computational Chemistry

Deep Learning for Computer Vision: A comparison between Convolutional Neural Networks and Hierarchical Temporal Memories on object recognition tasks

Deep Learning for Digital Asset Limit Order Books

Deep learning for galaxy surface brightness profile fitting

Deep Learning for Mortgage Risk

Deep Learning for Obfuscated Code Analysis

Deep Learning For Smile Recognition

Deep Learning in the Automotive Industry: Applications and Tools

Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls

Deep Learning Model Security: Threats and Defenses

Deep Learning Models on CPUs: A Methodology for Efficient Training

Deep Learning on FPGAs

Deep Learning on FPGAs: Past, Present, and Future

Deep learning review and its applications

Deep learning with COTS HPC systems

Deep Learning with GO

Deep Learning Workload Scheduling in GPU Datacenters: A Survey

Deep learning: A guide for practitioners in the physical sciences

Deep Neural Machine Translation with Weakly-Recurrent Units

Deep neural networks for direct, featureless learning through observation: the case of 2d spin models

Deep Neural Networks to Enable Real-time Multimessenger Astrophysics

Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

Deep Shadow Maps from Volumetric Data on the GPU

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Deep Tensor Convolution on Multicores

Deep Voice 3: 2000-Speaker Neural Text-to-Speech

Deep Voice: Real-time Neural Text-to-Speech

Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

Deep, Dense, and Low-Rank Gaussian Conditional Random Fields

DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators

DeepBach: a Steerable Model for Bach chorales generation

DeepBE: Learning Deep Binary Encoding for Multi-Label Classification

DeepDSL: A Compilation-based Domain-Specific Language for Deep Learning

DeeperLab: Single-Shot Image Parser

DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning

DeepFont: Identify Your Font from An Image

DeepLearningKit – an GPU Optimized Deep Learning Framework for Apple’s iOS, OS X and tvOS developed in Metal and Swift

DeepLearningKit – an Open Source Deep Learning Framework for Apple’s iOS, OS X and tvOS developed in Metal and Swift

DeepMetabolism: A Deep Learning System to Predict Phenotype from Genome Sequencing

DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications

DeepProf: Performance Analysis for Deep Learning Applications via Mining GPU Execution Patterns

DeepPy: Pythonic deep learning

DeepSeek-Coder: When the Large Language Model Meets Programming – The Rise of Code Intelligence

DeepSmith: Compiler Fuzzing through Deep Learning

DeepSpark: Spark-Based Deep Learning Supporting Asynchronous Updates and Caffe Compatibility

DeepSpeech: Scaling up end-to-end speech recognition

DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression

DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices

DEF-G: Declarative Framework for GPU Environment

Defocus Magnification with CUDA

Deformable model collision detection using A-buffer

Deformable object simulation in virtual environment

Deformation modeling using global medial representation structures and evaluation by biset mesh matching

Deformation of skeleton based implicit objects

Deforming a High-Resolution Mesh in Real-Time by Mapping onto a Low-Resolution Physical Model

Delaunay Triangulation in R3 on the GPU

Delivering Performance-Portable Stencil Computations on CPUs and GPUs Using Bricks

Delta-stepping: a parallelizable shortest path algorithm

DEM based simulation of concrete structures on GPU

DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture

Democratic Population Decisions Result in Robust Policy-Gradient Learning: A Parametric Study with GPU Simulations

Democratizing General Purpose GPU Programming through OpenCL and Scala

Demonstrating Self-Learning Algorithm Adaptivity in a Hardware-Oblivious Database Engine

Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs

Demystifying Dependency Bugs in Deep Learning Stack

Demystifying GPU microarchitecture through microbenchmarking

Demystifying the MLPerf Benchmark Suite

Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis

 

Titles: 100

open PDFs: 97

packages: 30