PPT-Scalable I/O-Aware Job Scheduling for

Author : lois-ondreau | Published Date : 2017-11-17

Burst Buffer Enabled HPC Clusters Chunxiao Liao 1 Background High performance storage is critical to achieving computational efficiency on high performance computing

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Scalable I/O-Aware Job Scheduling for: Transcript

Burst Buffer Enabled HPC Clusters Chunxiao Liao 1 Background High performance storage is critical to achieving computational efficiency on high performance computing HPC systems Capacity growth of disks continues to outpace increases in their bandwidth. WirelessHART. Networks. by. Abusayeed. . Saifullah. , You Xu, . Chenyang. Lu, and . Yixin. Chen. A Presentation of Findings for CSE5095. Joshua . Ivaldi. Dept of Electrical and Computer Engineering. Ravishankar. . Krishnaswamy. Carnegie Mellon University. Joint work with Nikhil . Bansal. and . Viswanath. . Nagarajan. . (IBM T. J. Watson Research Lab). Outline. Motivation, Problem Definition. Gokarna Sharma. (A joint work with . Costas Busch. ). Louisiana State University. Agenda. Introduction and Motivation. Scheduling Bounds in Different Software Transactional Memory Implementations. Tightly-Coupled Shared Memory Systems. Group Report. Ken Ayoob Dean, College of Arts, Humanities & Social Sciences . . (CAHSS). Richard Bruce CAHSS . Office Manager. , Former Psych Department . . Coordinator & University Senator. Multi-core Processors. Dawei Li . and Jie . Wu. Department of Computer and Information Sciences. Temple University, Philadelphia, . USA. The 43. rd. International . C. onference on Parallel . P. rocessing. Adwait Jog. , Onur Kayiran, Asit Mishra, Mahmut Kandemir, Onur Mutlu, Ravi Iyer, Chita Das . Multi-threading. Caching. Prefetching . Main Memory. . Improve. . Replacement . Policies. Parallelize your code!. T. Rogers, M O’Conner, and T. . Aamodt. MICRO 2012. Goal. Understand the relationship between schedulers (warp/wavefront) and locality behaviors . Distinguish between inter-wavefront and intra-wavefront locality. T. Rogers, M O’Conner, and T. . Aamodt. MICRO 2012. Goal. Understand the relationship between schedulers (warp/wavefront) and locality behaviors . Distinguish between inter-wavefront and intra-wavefront locality. Emalayan. . Vairavanathan. 1. The University of British Columbia. Department of Electrical and Computer Engineering. Background: Workflow Applications. modFTDock. workflow. Large number of independent tasks collectively work on a problem. PhD Dissertation Defense. Nathan Brunelle. July 31, 2017. 1. Video of this presentation viewable at . https://. www.youtube.com/watch?v=GP2rmOz3ebI. Dissertation PDF: . http://www.cs.virginia.edu/~. njb2b/Brunelle_phdDissertation_UVACS_2017.pdf. Purdue University. West Lafayette, IN. Date: April 8, 2013. Reliable and Scalable Checkpointing Systems for . Distributed . Computing Environments. Final exam of. Distributed Computing Environments. Tanzima Islam (tislam@purdue.edu). Yoongu. Kim. Dongsu. Han. Onur Mutlu. Mor. . Harchol-Balter. Motivation. Modern multi-core systems . employ multiple memory controllers. Applications contend . with . each other in multiple controllers. for 360-Degree Video Streaming. . Zhetao. Li . Fei . Gui. . Xiangtan University . Jinkun. . Geng. Dan Li . Tsinghua University . Zhibo. Wang . Wuhan University . Reetuparna Das. §. . Onur Mutlu. †. Thomas Moscibroda. ‡. Chita Das. §. §. Pennsylvania State University . †. Carnegie Mellon University . ‡. Microsoft Research. The Problem: Packet Scheduling.

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