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Awesome-GPU

Resources Management

Papers

  1. ASPLOS'17-Locality-Aware CTA Clustering for Modern GPUs
  2. ASPLOS'17-Dynamic Resource Management for Efficient Utilization of Multitasking GPUs
  3. HPCA'17-Dynamic GPGPU Power Management Using Adaptive Model Predictive Control
  4. ISCA'16-Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems

Parallelism

Papers

  1. HPCA'17-Controlled Kernel Launch for Dynamic Parallelism in GPUs
  2. ISCA'16-LaPerm: Locality Aware Scheduler for Dynamic Parallelism on GPUs
  3. ISCA'16-Virtual Thread Maximizing Thread-Level Parallelism beyond GPU Scheduling Limit

Slides

  1. GTC'17-COOPERATIVE GROUPS

Cache

Papers

  1. ISCA'16-APRES: Improving Cache Efficiency by Exploiting Load Characteristics on GPUs

Algorithm

Papers

  1. HPCA'17-Towards Pervasive and User Satisfactory CNN across GPU Microarchitectures

Performance Analysis

Papers

  1. ISPASS'10-Demystifying GPU Microarchitecture through Microbenchmarking
  2. ISPASS'10-Visualizing Complex Dynamics in Many-Core Accelerator Architectures
  3. ISPASS'09-Analyzing CUDA Workloads Using a Detailed GPU Simulator

Books

  1. Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU)

Compiler

  1. CGO'16-gpucc: An Open-Source GPGPU Compiler

White Papers

  1. Volta-NVIDIA TESLA V100
  2. Pascal-NVIDIA TESLA P100
  3. Kepler-NVIDIA’s Next Generation CUDA Compute Architecture: Kepler
  4. Fermi-NVIDIA’s Next Generation CUDA Compute Architecture: Fermi