PPT-A Case for Subarray -Level Parallelism

SALP in DRAM Yoongu Kim Vivek Seshadri Donghyuk Lee Jamie Liu Onur Mutlu Executive Summary Problem Requests to same DRAM bank are serialized Our Goal P arallelize requests to same DRAM bank at a low cost. Parallelism . of words:. She tried to make her pastry . fluffy. , . sweet. , . and . delicate. .. They tried to make their . work . faultless. , . complete. , and . perfect. . . adjectives . She tried to make her pastry . CS 46101 Section 600. CS 56101 Section 002. . Dr. Angela Guercio. Spring 2010. Analyzing Divide-and-Conquer Algorithms. Use a recurrence to characterize the running time of a divide-and-conquer algorithm.. CIS 606. Spring 2010. Analyzing Divide-and-Conquer Algorithms. Use a recurrence to characterize the running time of a divide-and-conquer algorithm.. Solving the recurrence gives us the asymptotic running time. Subarray. Problem. You can buy a unit of stock, only . one. time, then sell it at a later date. Buy/sell at end of day. Strategy: buy low, sell high. The lowest price may appear after the highest price. Divide and Conquer. . The divide-and-conquer. design paradigm. 1. Divide. . the problem (instance). into . subproblems. .. 2. Conquer. . the . subproblems. by. solving them recursively.. Collusion. Announcements. HW:. . HW 2, due 2/28 (posted); HW 3 due . 3/6. Spark: . iclicker. grades now uploaded. Reading . assignments. :. K&W 10 & 11 for this week . K&W . 9 (4. th. edition) for next week - posted. Presented . by A. Craik . (. 5. -Jan-12). Research supported by funding . from . Microsoft Research and the Queensland State Government. 1. Introduction. 2. Procedural Algorithm. Sequential Implementation w/ Injected Parallelism. CIS 606. Spring 2010. Quicksort. Worst-case running . time: Θ(. n. 2. ).. Expected running time. : . Θ(. n. . lg. . n. ).. Constants hidden . in . Θ(. n. . lg. . n. ) are small.. Sorts in place.. Lecture 1. Introduction to Multithreading & Fork-Join Parallelism. Steve . Wolfman. , based on work by Dan . Grossman. LICENSE. : This file is licensed under a . Creative . Commons Attribution 3.0 . Vijay . Pai. (PI), Deborah Bennett, . Cordelia. Brown, Yung Lu, . Sam . Midkiff. smidkiff@purdue.edu. Let’s start off pessimistically. I’ve been involved in two or three of these workshops, and the comment I’ve heard from industrial . cache Directive:. Opportunities and Optimizations. Ahmad . Lashgar. & . Amirali. . Baniasadi. ECE Department. University of Victoria. November . 14. , 2016. 1. Directive-based Accelerator Programming Models. Processor Parallelism. Levels of parallelism defined via memory/control:. Processor Parallelism. Categories defined based on:. Number of simultaneous instructions. Number of simultaneous data items. How We Got Here. Parallel structure (also called parallelism) is the repetition of a chosen grammatical form within a sentence. By making each compared item or idea in your sentence follow the same grammatical pattern, you create a parallel construction. You can buy a unit of stock, only . one. time, then sell it at a later date. Buy/sell at end of day. Strategy: buy low, sell high. The lowest price may appear after the highest price. Assume you know future prices.