PPT-Thread-Fair Memory Request Reordering

Kun Fang Nick Iliev Ehsan Noohi Suyu Zhang and Zhichun Zhu Dept of ECE University of Illinois at Chicago 1 Outline Background ThreadFair Memory Request Reordering Result Conclusion. Performance considerations. (CUDA best practices) . NVIDIA CUDA C programming best practices guide. ACK: CUDA teaching center Stanford (. Hoberrock. and . Tarjan. ).. Outline. Host to device memory transfer. GPGPU Programming in CUDA. Supada . Laosooksathit. NVIDIA Hardware Architecture. Host. memory. Recall. 5 steps for CUDA Programming. Initialize device. Allocate. device memory. Copy. data to device memory. Jason Katz-Brown, Slav . Petrov. , Ryan McDonald, Franz . Och. David Talbot, Hiroshi Ichikawa, Masakazu Seno, . Hideto. . Kazawa. Dependency Parsing. Given a sentence, label the dependencies. (from . by. Memory Unwinding. Ermenegildo. . Tomasco. University of Southampton, UK. Omar Inverso. University of Southampton, UK. Bernd Fischer. Stellenbosch University, South Africa. Salvatore La Torre. Università. . Tomasco. . University . of Southampton, . UK. Omar . Inverso. . . University . of . Southampton, UK. . Bernd Fischer. . . Stellenbosch University, South Africa. Lecture . 5: Memory. Today. GPU Memory Overview. CUDA Memory Syntax. Tips and tricks for memory handling. Memory Overview. Very slow access:. Between host and device. Slow access:. Global Memory. Fast access:. Tausief Shaikh. (Senior Server developer). Introduction. Covers sense of responsibility towards Project development in IT. Focusing on memory and CPU utilizations rather than just coding.. Thread and Thread Pool. : . Exploiting Differences in Memory Access Behavior. Yoongu Kim. Michael Papamichael. Onur Mutlu. Mor Harchol-Balter. Motivation. Memory is a shared resource. Threads’ requests contend for memory. Robert Graham. @. ErrataRob. https://. blog.erratasec.com. Scalability. Performance. The cost of things. How fast can CPUs execute instructions. How fast can CPUs access-memory. How fast are kernel system calls. Michael Laurenzano. 1. , Joshua Peraza. 1. , Laura Carrington. 1. , . Ananta. Tiwari. 1. , William A. Ward. 2. , Roy Campbell. 2. 1. Performance Modeling and Characterization (. PMaC. ) Laboratory, San Diego Supercomputer Center. and CUDA. Lecture for CPSC 5155. Edward Bosworth, Ph.D.. Computer Science Department. Columbus State University. The Graphics Coprocessor. From the earliest VGA designs, the graphics unit has been designed as a special purpose processor, attached to the CPU using a. Hongjin Liang. . and . Xinyu. Feng. University of Science and Technology of China (USTC). …. push(7);. x = pop();. …. …. push(6);. …. Client code . C. java. .. util. .. concurrent. void push(. Yoongu. Kim. Dongsu. Han. Onur Mutlu. Mor. . Harchol-Balter. Motivation. Modern multi-core systems . employ multiple memory controllers. Applications contend . with . each other in multiple controllers. Design Principles Spring 2012. Dan C. . Marinescu. Office: HEC 304. Office hours: M-Wd 5:00-6:00 PM. Lecture 18 – Monday March 19, 2012. Reading assignment: . Chapter 9 from the on-line text. Last time – Error correcting codes.