'Storage overhead' presentation slideshows

Prof John D. Kubiatowicz cs.berkeley/~kubitron/cs252

606 views • 59 slides

CS252 Graduate Computer Architecture Lecture 26 Distributed Shared Memory

CS252 Graduate Computer Architecture Lecture 26 Distributed Shared Memory. Prof John D. Kubiatowicz http://www.cs.berkeley.edu/~kubitron/cs252. P. P. n. 1. P. P. n. 1. $. $. $. $. Mem. Mem. Inter. connection network. Inter. connection network. Mem. Mem.

532 views • 52 slides

CS338

CS338. Additional topics. Entertainment: Video on demand Interactive television Games, virtual worlds, etc . Education Distance learning Hypermedia and/or multimodal courseware Digital libraries Communications Teleconferencing Web Emails Business E-commerce E-business E-banking.

661 views • 50 slides

The Evicted-Address Filter

The Evicted-Address Filter. Vivek Seshadri Onur Mutlu Michael A. Kozuch Todd C. Mowry. A Unified Mechanism to Address Both Cache Pollution and Thrashing. Executive Summary. Two problems degrade cache performance Pollution and thrashing

530 views • 43 slides

Incremental Mature Garbage Collection Using the Train Algorithm

Incremental Mature Garbage Collection Using the Train Algorithm. By Jacob Seligmann Steffen Grarup Presented By Leon Gendler (lgendler@math.tau.ac.il). Incremental Collection of Mature Objects. By Richard L. Hudson J. Eliot B. Moss. Incremental Mature Garbage Collection. By

523 views • 41 slides

Chapter 8: Cache Coherents in Scalable Multiprocessors

Chapter 8: Cache Coherents in Scalable Multiprocessors. Outline. Approaches to scalable coherence hierarchical directory-based Directory Protocols basic operation flat vs. hierarchical directories flat schemes: memory-based vs. cache-based reducing directory storage overhead

491 views • 39 slides

Towards Scalable and Energy-Efficient Memory System Architectures

Towards Scalable and Energy-Efficient Memory System Architectures. Rajeev Balasubramonian School of Computing University of Utah. Main Memory Problems. 3. Reliability. PROCESSOR. DIMM. DIMM. 2. High capacity at high bandwidth. 1. Energy. Motivation: Memory Energy.

527 views • 36 slides

Cache Coherence in Scalable Machines (II)

Cache Coherence in Scalable Machines (II). Outline. Overview of directory-based approaches inherent program characteristics Correctness, including serialization and consistency. Scaling Issues. memory and directory bandwidth

450 views • 30 slides

CS252 Graduate Computer Architecture Lecture 20 April 12 th , 2010 Distributed Shared Memory

CS252 Graduate Computer Architecture Lecture 20 April 12 th , 2010 Distributed Shared Memory. Prof John D. Kubiatowicz http://www.cs.berkeley.edu/~kubitron/cs252. Recall: Sequential Consistency Example. Processor 1. Processor 2. One Consistent Serial Order. LD 1 A ? 5 LD 2 B ? 7

287 views • 28 slides

2011+ Massimo Lamanna / CERN (for the IT-DSS group) ATLAS retreat Napoli 2-4 Jan 2011

2011+ Massimo Lamanna / CERN (for the IT-DSS group) ATLAS retreat Napoli 2-4 Jan 2011. Introduction. IT DSS: responsible of the data management for physics at CERN Mainly but not exclusively the LHC experiments Physics data (on disk and tape): notably AFS, CASTOR and EOS

354 views • 21 slides

2011+ Massimo Lamanna / CERN (for the IT-DSS group) ATLAS retreat Napoli 2-4 Jan 2011

2011+ Massimo Lamanna / CERN (for the IT-DSS group) ATLAS retreat Napoli 2-4 Jan 2011. Introduction. IT DSS: responsible of the data management for physics at CERN Mainly but not exclusively the LHC experiments Physics data (on disk and tape): notably AFS, CASTOR and EOS

227 views • 21 slides

Limitless Storage, Boundless Opportunities

178 views • 17 slides

Key Establishment Scheme against Storage-Bounded Adversaries in Wireless Sensor Networks

Key Establishment Scheme against Storage-Bounded Adversaries in Wireless Sensor Networks. Authors: Shi-Chun Tsai, Wen-Guey Tzeng, and Kun-Yi Zhou Source: IEEE Transactions on Wireless Communications, Vol.8, No.3, p.p.1218-1222, 2009. Presenter: Yung-Chih Lu ( ??? ) Date: 2010/02/24. Outline.

226 views • 10 slides

Locality Optimizations in Tapestry

Locality Optimizations in Tapestry. Jeremy Stribling Joint work with : Kris Hildrum Ben Y. Zhao Anthony D. Joseph John D. Kubiatowicz Sahara/OceanStore Winter Retreat January 14, 2003. Berkeley. MIT. Object Location in Tapestry. UW. Berkeley. MIT. Is This Always Optimal?. UW.

200 views • 10 slides