Optimizing CUDA: Warps, Threads and Blocks. | A Computer Sciences Engineer living in Stockholm
Slide View : 15-418/618 Spring 2014
CUDAMPF: Multi-tiered Parallel Framework on CUDA-enabled GPU. (a) A... | Download Scientific Diagram
gpu - Why bother to know about CUDA Warps? - Stack Overflow
Basic Concepts in GPU Computing. This post mainly goes through the white… | by Hao Gao | Medium
Derek Gets Technical: 15th Century Loom Technology Makes a Comeback - NVIDIA's 1.4 Billion Transistor GPU: GT200 Arrives as the GeForce GTX 280 & 260
CUDA编程笔记（11）——warp | 我的站点
Register Cache: Caching for Warp-Centric CUDA Programs | NVIDIA Technical Blog
Thread block (CUDA programming) - Wikipedia
Demo) Visualizing NVIDIA gl_ThreadInWarpNV, gl_WarpIDNV and gl_SMIDNV (GL_NV_shader_thread_group) | HackLAB
Slide View : 15-418 Spring 2013
CUDA Execution Model – Fundamentals of Heterogeneous Parallel Programming with CUDA C/C++
NVIDIA GPUのアーキテクチャ : sonots:blog
Coalesced memory accesses illustrating a warp of 32 threads... | Download Scientific Diagram
cuda - Do modern nVIDIA GPUs perform sub-warp scheduling of work? - Stack Overflow
Understanding the CUDA Threading Model | PGI
GF104: NVIDIA Goes Superscalar - NVIDIA's GeForce GTX 460: The $200 King
NVIDIA GPUの構造とCUDAスレッディングモデル
GPU - HackMD
Figure 1 from Embedded GPU Performance Estimation from Single-Threaded Applications 39 : 3 Global Memory ( DRAM ) Memory Interface Streaming Multiprocessor ( SMX ) L 2 Cache Streaming Multiprocessor ( SMX )
A Note on Branching Within a Shader
Slide View : Parallel Computer Architecture and Programming : 15-418/618 Spring 2016
