PPT-Self-tuning HTM

Author : stefany-barnette | Published Date : 2016-07-04

Paolo Romano Based on ICAC14 paper N Diegues and Paolo Romano SelfTuning Intel Transactional Synchronization Extensions 11 th USENIX International Conference

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Self-tuning HTM: Transcript

Paolo Romano Based on ICAC14 paper N Diegues and Paolo Romano SelfTuning Intel Transactional Synchronization Extensions 11 th USENIX International Conference on Autonomic Computing . JIM TURNERLOOK AT ME NOW...WRITTEN BY: CHAS SMITHEXCEPTIONS TO...PHOTOGRAPHED BY: JOHN CAREYWRITTEN BY: JOANNA PRISCOA WOMAN AS...WRITTEN BY: ALICE PFEIFFER Presented . by:. . Rastislav Vajdák. . Senior Test Engineer. . . Oxymat. -Slovakia, s.r.o.. Fine tuning and setting PSA. OC input / output parameters. Tools. Start . o. f system to test . Part 1: Scaling Up. Sander Temme <sander@temme.net>. 2. “Apache is a general webserver, which is designed to be correct first, and fast second. Even so, its performance is quite satisfactory. Most sites have less than 10Mbits of outgoing bandwidth, which Apache can fill using only a low end Pentium-based webserver.”. Kadin Tseng. Boston University. Scientific Computing and Visualization. Serial Performance gain. Due to memory access. Due to caching. Due to vector . representations. Due to compiler. Due to other . RED. for Web Traffic. Mikkel Christiansen, Kevin Jeffay,. David Ott, Donelson Smith. UNC, Chapel Hill. SIGCOMM 2000, Stockholm. subsequently. IEEE/ACM Transactions on Networking. Vol. 9 , No. 3 (June 2001) pp 249 – 264.. S. liding Mode Control. Application of an Auto-Tuning Neuron. to Sliding Mode Control. Wei-Der Chang, Rey-Chue Hwang, and Jer-Guang . Hsieh. IEEE . TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C: APPLICATIONS AND REVIEWS, VOL. 32, NO. 4, NOVEMBER . + . Also Affiliated with NSF Center for High-Performance Reconfigurable Computing . Tosiron Adegbija. 1. , Ann Gordon-Ross. 1+. ,. . and . Arslan. Munir. 2. 1. Department . of Electrical and Computer . Photoinduced. Fields. L. C. Basset, F. . J. . . Heremans. , C. G. Yale, B. B. Buckley, and A. . Awschalom. PRL 107, 266403 (2011). Motivation. NV centers are sensitive to their local environment -> sample . Mehrzad Samadi. 1. , Janghaeng Lee. 1. , D. Anoushe Jamshidi. 1. , Amir Hormati. 2. , and Scott Mahlke. 1. University of Michigan. 1. , Google . Inc.. 2. December 2013. Compilers creating custom processors. Chairs. IETF 79. 1. IGMP/MLD tuning milestone. Are we ready to adopt one of these drafts?. draft-asaeda-multimob-igmp-mld-optimization-04.txt. . draft-wu-multimob-igmp-mld-tuning-03.txt . More specific questions follow. John H. . Yopp. , PhD. Strategic Partnerships, Tuning USA. David W. Marshall, PhD. Associate Director, Tuning USA. Presentation Goals. Discuss how the unique . f. eatures of U.S. higher education versus other national educational . Daimeng Zhang, . Melissa . Trepanier. , Oleg . Mukhanov. ,. . Steven . M. Anlage. NSF-GOALI ECCS-1158644. Fall 2013 MRS Meeting. 2 December, 2013. Phys. Rev. X (in press); arXiv:1308.1410. Outline. Brief Introduction to Superconducting Metamaterials and SQUIDs. process that identifies what a student should know and be able to do in a chosen . discipline at the completion of a degree by:. Defining areas of competency. Identifying learning outcomes. Scaling competencies and outcomes to degree level. Puspita. . Majumdar. , . Mayank . Vatsa. , . Richa. Singh. Indraprastha. Institute of Information Technology Delhi (IIIT-D), India . Saheb Chhabra. Richa. Singh. Mayank. . Vatsa. Puspita. . Majumdar.

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