PPT-Memory Hierarchy—Improving Performance

Professor Alvin R Lebeck Computer Science 220 Fall 2008 Admin Work on Projects Read NUCA paper Review ABCs of caches Associativity Block size Capacity Number of sets S CBA 1way Directmapped. Average memory-access time = Hit time + Miss rate x Miss penalty (ns or clocks) ®. . BW . Accelerator. Including BWA 7.2 new features. Dr. Bjarne Berg. Comerit Inc. .. 2. In This Session .... Show what SAP NetWeaver. ®. BW Accelerator is and how it works. Look what SAP BW Accelerator can and cannot do to optimize query and dashboard performance. Setting: . Working and Communicating with Others. Susan M. Hohenhaus. , . LPD. , RN, CEN, . FAEN. Exe. cutive . Director. Emergency . Nurses Association. 1. Learning Objectives. 2. Describe the relationship between hierarchy and patient safety. A Comparison of Locking vs. Transactional Memory. Written by: . Paul E. . McKenney. Jonathan . Walpole. Maged. M. . Michael. Josh . Triplett. Presented by: Jacob Lear. (Some slides borrowed from Dr. Walpole’s lectures). Betkaoui, B.; Thomas, D.B.; Luk, W., "Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing," . Field-Programmable Technology (FPT), 2010 International Conference on. 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 — . ®. BW Accelerator. Dr. Bjarne Berg. Comerit Inc. .. 2. In This Session .... Show what SAP NetWeaver. ®. BW Accelerator is and how it works. Look what SAP BW Accelerator can and cannot do to optimize query and dashboard performance. 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 (. 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. Se-Joon Chung. Background and Key Challenges. The trend in computing hardware is parallel systems.. It is challenging for programmers is to develop applications that transparently scales its parallelism to leverage the increasing number of processor cores.. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand