PPT-The Compact Memory Scheduling Maximizing Row Buffer Locality

Young Suk Moon Yongkee Kwon Hong Sik Kim Donggun Kim Hyungdong Hayden Lee and Kunwoo Park Introduction The cost of readtowrite switching is high The timing overhead of the row conflict is . edu Dhruba Borthakur Facebook Inc dhrubafacebookcom Joydeep Sen Sarma Facebook Inc jssarmafacebookcom Khaled Elmeleegy Yahoo Research khaledyahooinccom Scott Shenker University of California Berkeley shenkercsberkeleyedu Ion Stoica University of Cali edu Dhruba Borthakur Facebook Inc dhrubafacebookcom Joydeep Sen Sarma Facebook Inc jssarmafacebookcom Khaled Elmeleegy Yahoo Research khaledyahooinccom Scott Shenker University of California Berkeley shenkercsberkeleyedu Ion Stoica University of Cali I/O Management . and Disk Scheduling. Seventh Edition. By William Stallings. Operating Systems:. Internals and Design Principles. Operating Systems:. Internals and Design Principles. An artifact can be thought of as a meeting point—an “interface” in today’s terms between an “inner” environment, the substance and organization of the artifact itself, and an “outer” environment, the surroundings in which it operates. If the inner environment is appropriate to the outer environment, or vice versa, the artifact will serve its intended purpose.. Zhenhua . Guo. , Geoffrey Fox, Mo Zhou. Outline. Introduction. Analysis of Data Locality. Optimality of Data Locality. Experiments. Conclusions. MapReduce Execution Overview. 3. Google File System. Read input data. 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. 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. Zhenhua . Guo. , Geoffrey Fox, Mo Zhou. Outline. Introduction. Analysis of Data Locality. Optimality of Data Locality. Experiments. Conclusions. MapReduce Execution Overview. 3. Google File System. Read input data. 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. Bulk-synchronous Programming Models on. CPU Architectures. Hee-Seok. Kim. , . Izzat. El Hajj, John Stratton,. Steven . Lumetta. and . Wen-mei. . Hwu. CPU. (Intel, AMD, PowerPC). GPU. (NVIDIA, AMD, Imagination, ARM). 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.. Multicore. Systems. Lavanya. . Subramanian. Department of . ECE. 11/04/2011. Main Memory is a Bottleneck. 2. Core. Channel. Memory. Main memory latency is long.. Reduces performance stalling core. In a . 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. CS 346. Outline. CS346-level Buffer Manager Background. Three Important Algorithms. QLSM Model. DBMin. Algorithm. Experiments. Buffer Managers. Buffer manager intelligently shuffles data from main memory to disk: . and Disk Scheduling. Eighth Edition. By William Stallings. Operating Systems:. Internals and Design Principles. Categories of I/O Devices. External devices that engage in I/O with computer systems can be grouped into three categories:.