PPT-The Memory Hierarchy

15213 18213 Introduction to Computer Systems 10 th Lecture Sep 27 2012 Instructors Dave OHallaron Greg Ganger and Greg Kesden Today DRAM as building block for main memory. Avg Access Time 2 Tokens Number of Controllers Average Access Time clock cyles brPage 16br Number of Tokens vs Avg Access Time 9 Controllers Number of Tokens Average Access Time clock cycles brPage 17br brPage 18br In our simple model the memory system is a linear array of bytes and the CP U can access each memory location in a constant amount of time While this is an effective model as f ar as it goes it does not re64258ect the way that modern systems really Lab 2: Cache Lab. Overview. Objectives. Cache Set-Up. Command line parsing. Least Recently Used (LRU). Matrix Transposition. Cache-Friendly Code. Objective. There are two parts to this lab:. Part A: Cache Simulator. Is this our Undiscovered Country?. John T. Daly. Undiscovered Country: Cost vs. Risk?. Data . Movement. Concurrency. Latency . Hiding. Technology Generation. ~ 15 years. Time. Log(Performance). Parallel. and Cache. A Mystery…. Memory. Main memory . = . RAM. : Random Access Memory. Read/write. Multiple . flavors . DDR SDRAM most common. 64 . bit wide. DDR : Dual Data Rate. S . : Synchronous. D : synamic. CprE 381 Computer Organization and Assembly Level Programming, Fall 2013. Zhao Zhang. Iowa State University. Revised from original slides provided . by MKP. Chapter 5 — Large and Fast: Exploiting Memory Hierarchy — . Hierarchy with Hi-Spade. . Phillip B. Gibbons. Intel Labs Pittsburgh. September 22, 2011. Abstract. The . goal of the Hi-Spade project is to enable a hierarchy-savvy approach to algorithm design and systems for emerging parallel hierarchies. Good performance often requires effective use of the cache/memory/storage hierarchy of the target computing platform. Two recent trends---pervasive multi-cores and pervasive flash-based SSDs---provide both new challenges and new opportunities for maximizing performance. The project seeks to create abstractions, tools and techniques that (. 10 Nov, 2015. Instructor:. . Rabi Mahapatra. Slide Source: Randal E. Bryant and David R. . O’Hallaron. Today. Storage technologies and trends. Locality of reference. Caching in the memory hierarchy. Storage technologies and trends. Locality of reference. Caching in the memory hierarchy. CS 105. Tour of the Black Holes of Computing. Random-Access Memory (RAM). Key features. RAM. is traditionally packaged as a chip.. 11. th. Lecture, October 2, 2018. Today. Storage technologies and trends. Locality of reference. Caching in the memory hierarchy. Random-Access Memory (RAM). Key features. RAM . is traditionally packaged as a chip.. Lecture for CPSC 5155. Edward Bosworth, Ph.D.. Computer Science Department. Columbus State University. The Simple View of Memory. The simplest view of memory is . that presented . at the ISA (Instruction Set Architecture) level. At this level, memory is a . Chapter 5 — Large and Fast: Exploiting Memory Hierarchy — . 2. Memory Technology. Static RAM (SRAM). 0.5ns – 2.5ns, $2000 – $5000 per GB. Dynamic RAM (DRAM). 50ns – 70ns, $20 – $75 per GB. Memory Hierarchy Lecture notes from MKP, H. H. Lee and S. Yalamanchili Reading Sections 5.1, 5.2, 5.3, 5.4, 5.8 (some elements), 5.9 SRAM: Value is stored on a pair of inverting gates Very fast but takes up more space than DRAM (4 to 6 transistors) 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.