PPT-Shared memory

Shared memory Process A Process B Physical Memory Virtual address space A Virtual address space B Share Share Share Instruction memory Data Instruction memory Data Create a shared memory region. †. : Rethinking Hardware for Disciplined Parallelism. Byn Choi, Rakesh Komuravelli, Hyojin Sung, . Rob Bocchino, Sarita Adve, Vikram Adve. Other collaborators:. Languages: Adam Welc, Tatiana Shpeisman, Yang Ni (Intel). 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. Distributed Shared Memory. Shared Memory. Shared memory programs are easier to write. Multiprocessor systems. Message passing systems:. - no physically shared memory. - need to provide an abstraction of shared memory: Distributed Shared Memory. †. : Rethinking Hardware for Disciplined Parallelism. Byn Choi, Rakesh Komuravelli, Hyojin Sung, . Rob Bocchino, Sarita Adve, Vikram Adve. Other collaborators:. Languages: Adam Welc, Tatiana Shpeisman, Yang Ni (Intel). Acoherent. . Shared Memory?. Mark D. Hill. UW-Madison Computer Sciences. Workshop . on Negative Outcomes,. Post-mortems. , . and Experiences (NOPE). December 2015. Title/Abstract. Title: Whither . Acoherent. Dept. of Electrical & Computer Engineering. Computer Architecture . ECE 668. Multiprocessor Systems. Csaba Andras Moritz. Textbook: Dubois, . Annavaram. , . Stenstrom. , Parallel Computer Organization and Design. Thread Level Parallelism. Chapter 4, Appendix H. CS448. 2. The Greed for Speed. Two general approaches to making computers faster. Faster uniprocessor. All the techniques we’ve been looking at so far, plus others…. Ramoliya. . . dipak.ramoliya@darshan.ac.in. Computer Engineering Darshan . Institute of Engineering & . Technology. Unit: 6 . Distributed . Shared Memory. GPU Computing. Recitation 2. : Synchronization. , . Shared memory, Matrix Transpose. Synchronization. Ideal case for parallelism: . no resources shared between threads. no communication between threads. High Performance Computing . for Engineering Applications. “Once a new technology rolls over you, if you're . not. . part of the steamroller, you're part of the road. .” . Stewart Brand. © Dan Negrut, . Yao Wang, Andrew . Ferraiuolo. , G. Edward . Suh. Feb 17. th. 2014. Executive Summary. Observation:. Modern computing systems are vulnerable to . timing channel attacks. Problem: . No hardware techniques exist to eliminate timing channels through . Rethinking . of . the Memory Hierarchy. Sarita. Adve, . Vikram Adve,. Rob Bocchino. , Nicholas Carter, Byn . Choi, . Ching-Tsun. Chou, . Stephen Heumann, . Nima. Honarmand, Rakesh Komuravelli, Maria Kotsifakou, . Hagersten. , . Landin. , and . Haridi. (1991). Presented by Patrick . Eibl. Outline. Basics of Cache-Only Memory Architectures. The Data Diffusion Machine (DDM). DDM Coherence Protocol. Examples of Replacement, Reading, Writing. Lecture 19. April . 4. th. , . 2012. Bus-Based Shared Memory (. Con’t. ). Distributed Shared Memory. Prof John D. Kubiatowicz. http://www.cs.berkeley.edu/~kubitron/cs252. Recall: Natural Extensions of Memory System.