PPT-CPUs, GPUs, accelerators and memory

Andrea Sciabà On behalf of the Technology Watch WG HOW Workshop 1822 March 2019 Jefferson Lab Newport News DRAFT Introduction The goal of the presentation is to give a broad overview of the status and prospects of compute technologies. Hardware Accelerators. Yakun. Sophia Shao, Sam Xi,. Viji. . Srinivasan. , . Gu-Yeon. Wei, David Brooks. More accelerators.. Out-of-Core. Accelerators. Maltiel. Consulting . estimates. 2. [Die photo from . I was blindfolded. I was taken from my home. I was led to a dark room. Meet Olaf. A snowman who looks forward to summer. Specious reasoning, friend Olaf.  . The hot and the cold are both so intense. Alan . Gray. EPCC . The University of Edinburgh. Outline. Why do we want/need accelerators such as GPUs?. Architectural reasons for accelerator performance advantages . Latest accelerator Products. NVIDIA and AMD GPUs. +. , Trevor . Mudge. *, . Parthasarathy. Ranganathan. +. , Steven K. Reinhardt*. †. ,. Thomas F. . Wenisch. *. June 23, 2009. Disaggregated Memory . for Expansion and Sharing . in Blade Servers. * University of Michigan . 2010 Turing Award Recipient. Chuck Thacker. Improving the future by examining the past. Thesis. Computer architecture has hit a wall.. This will require us to build future systems in new ways.. New systems will require changes in the way we program them.. Effects of Application Interference. Scheme. Summary. Performance . Benefits. Onur Kayıran. 1. . Nachiappan CN. 1. Adwait Jog. 1. Rachata Ausavarungnirun. 2. . Mahmut T. Kandemir. 1. Gabriel H. Loh. ECE . 751. Brian Coutinho. ,. David Schlais. ,. Gokul Ravi. &. Keshav . Mathur . Summary. Fact. : Accelerators gaining popularity - to improve performance and energy efficiency. Problem. : Accelerators with scratchpads require DMA calls to satisfy memory requests (among other overheads). Introduction. Multiprocessing.  is the use of two or more . central processing units.  (CPUs) within a single . computer . system. . The . term also refers to the ability of a system to support more than one processor and/or the ability to allocate tasks between them. What Hardware used to look like…. Northbridge connects CPU and memory to rest of system. Memory controller implemented in Northbridge chipset. Devices and CPU can access memory via requests to Northbridge. Highly-parallel Accelerators. Marc . S. Orr. PhD Defense, . December . 5. , . 2016. Advisor: David A. Wood. Committee. : Brad Beckmann, Mark Hill, Nam . Sung Kim,. Karu. . Sankaralingam. , and Mike Swift. ITS Research Computing. Mark Reed . Objectives. Learn why computing with accelerators is important. Understand accelerator hardware. Learn what types of problems are suitable for accelerators. Survey the programming models available. Historical/Conceptual. Intel. AMD. ?. CPU Core Components. The Man in the Box. External Data Bus. Registers. AX, BX, CX, DX. Code book. Clock. System crystal. Back to the External Data Bus. Memory. Memory and RAM. Introduction. Multiprocessing.  is the use of two or more . central processing units.  (CPUs) within a single . computer . system. . The . term also refers to the ability of a system to support more than one processor and/or the ability to allocate tasks between them. ECE . 751. Brian Coutinho. ,. David Schlais. ,. Gokul Ravi. &. Keshav . Mathur . Summary. Fact. : Accelerators gaining popularity - to improve performance and energy efficiency. Problem. : Accelerators with scratchpads require DMA calls to satisfy memory requests (among other overheads).