PPT-Lecture 11 & 12: Caches

Cache overview 4 Hierarchy questions More on Locality Please bring these slides to the next lecture Projects 2 and 3 Regrade issues for 3 Please resubmit and come to office hours with a diff. Although large caches can significantly improve performance they have the potential to increase power consumption As feature sizes shrink the dominant component of this power loss will be leakage However during a fixed period of time the activ ity i caches and data caches are always identical in size or differ by a factor of 2X, but no more. The primary caches range from 8 KB to 128 KB with SA ranging from direct mapped to 8-way. Small instruct with Inclusive Caches . Temporal Locality Aware (TLA) Cache Management Policies. Aamer Jaleel, Eric Borch, Malini Bhandaru,. Simon Steely Jr., Joel Emer. In International Symposium on Microarchitecture (MICRO). Community-Maintained Resources. Community Maintained Resources. Participants are responsible for generating content and administering the site. Can be games, information resources, repositories. Examples:. Adwait Jog. †. , . Asit K. Mishra‡, Cong Xu†, Yuan Xie†, N. Vijaykrishnan†, Ravi Iyer‡, Chita R. Das†. †. The Pennsylvania State University . Justin Hsia. 7/22/2013. Summer 2013 -- Lecture #16. 1. CS 61C: Great Ideas in . Computer Architecture. Amdahl’s Law,. Thread Level Parallelism. 1. st. Half in Review. Write bigger, talk slower. Students afraid/too lost to . Multiprocessor Scheduling. Last lecture: VMM. Two old problems: CPU virtualization and memory virtualization. I/O virtualization. Today. Issues related to multi-core: scheduling and scalability. The cache coherence problem. Hakim Weatherspoon. CS 3410, Spring 2013. Computer Science. Cornell University. P & H Chapter . 5.2-3, 5.5. Goals for Today: caches. Writing . to the Cache. Write-through . vs. Write-back. Cache Parameter Tradeoffs. CS 3410, Spring 2011. Computer Science. Cornell University. See P&H . 5.2 (writes), 5.3, 5.5. Announcements. HW3 available due . next. Tuesday . HW3 has been updated. . Use updated version.. Work with . February 2015. GEOCACHING. The Modern Treasure Hunt. What is . geocaching. ?. Geocaching.com definition:. “. Geocaching. is a real-world, outdoor treasure hunting game using GPS-enabled devices. Participants navigate to a specific set of GPS coordinates and then attempt to find the . Theoretical Analysis. . Motivation. . Challenges. Learning Caching Policies with Subsampling . Haonan. Wang, Hao He, Mohammad Alizadeh, Hongzi Mao. . MIT Computer Science and Artificial Intelligence Laboratory. February 2015. GEOCACHING. The Modern Treasure Hunt. What is . geocaching. ?. Geocaching.com definition:. “. Geocaching. is a real-world, outdoor treasure hunting game using GPS-enabled devices. Participants navigate to a specific set of GPS coordinates and then attempt to find the . Placement and Management. Andreas . Moshovos. University of Toronto/ECE. Short Course, University . of Zaragoza, . July 2009. Most slides are based on or directly taken from material and slides by the original paper authors. Keshav . Harisrikanth. , . Srijan. Chakraborty, Sean Ngo. Architecture Concepts. Instruction Set Architecture (ISA). Performance, Energy, Power. Memory Hierarchy. Caches. Virtual Memory (VM). Pipelines and Hazards.