PDF-PTask Operating System Abstractions To Manage GPUs as

Rossbach Microsoft Research crossbacmicrosoftcom Jon Currey Microsoft Research jcurreymicrosoftcom Mark Silberstein Technion markscstechnionacil Baishakhi Ray University of Texas at Austin braycsutexasedu Emmett Witchel University of Texas at Austin. CBSDE STUDIENGEB57564HREN ACHELORPROGRAMME INTERNATIONAL USINESS INTERNATIONAL CULTURE AND MANAGE ENT INTERNATIONAL OURIS MANAGE ENT INTERNATIONAL MEDIA MANAGE ENT GENERAL MANAGE ENT BUSINESS PSYCHOLOGY WIRTSCHAFTSP All Programmable Abstractions push beyond traditional RTL design methodologies to automate all aspects of system development and algorithm deployment into all programmable FPGAs SoC and 3D ICs Xilinx and its Alliance members are working together to Chris Rossbach, Microsoft Research. Jon Currey, Microsoft Research. Emmett . Witchel. , University of Texas at Austin. HotOS. 2011. Lots of GPUs. Must they be so hard to use?. We need dataflow…. GPU Haiku . 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. Matei Zaharia, . Benjamin . Hindman. , Andy . Konwinski. , Ali . Ghodsi. , Anthony Joseph, Randy Katz, Scott . Shenker. , Ion . Stoica. Background. Clusters of commodity servers . have become a . major computing . : Operating System Abstractions to Manage GPUs as Compute Devices. Chris Rossbach, Jon Currey, . Microsoft Research. Mark Silberstein, . Technion. Baishakhi Ray, Emmett Witchel, . UT Austin. SOSP October 25, 2011. Watercolor Paint - Abstractions. Watercolor Paint – Non-Representational. Pastel Abstractions. Disjoint Set Union-Find . and . Minimum Spanning Trees. Kate Deibel. Summer 2012. August 13, 2012. CSE 332 Data Abstractions, Summer 2012. 1. Making Connections. You have a set of nodes (numbered 1-9) on a network. . Chapter 1 — Computer Abstractions and Technology — . 2. Classes of Computers. Personal computers. General purpose, variety of software. Subject to cost/performance tradeoff. Server computers. Network based. Chapter 3 Operating Systems Concepts 1 A Computer Model An operating system has to deal with the fact that a computer is made up of a CPU, random access memory (RAM), input/output (I/O) devices, and long-term storage. CSE 332 Data Abstractions: A Heterozygous Forest of AVL, Splay, and B Trees Kate Deibel Summer 2012 July 2, 2012 CSE 332 Data Abstractions, Summer 2012 1 From last time… Binary search trees can give us great performance due to providing a structured binary search. Lecture 6: Dictionaries; Binary Search Trees. Dan Grossman. Spring 2010. Where we are. Studying the absolutely essential ADTs of computer science and classic data structures for implementing them. ADTs so far:. Lecture 9: B Trees. Dan Grossman. Spring 2010. Our goal. Problem: A dictionary with so much data most of it is on disk. Desire: A balanced tree (logarithmic height) that is even shallower than AVL trees so that we can minimize disk accesses and exploit disk-block size. Dictionary ADT. : Arrays, Lists and . Trees. Kate Deibel. Summer 2012. June 27, 2012. CSE 332 Data Abstractions, Summer 2012. 1. Where We Are. Studying the absolutely essential ADTs of computer science and classic data structures for implementing them.