PPT-That was Close! Doing Science with Near Misses

Adam Shostack Key Takeaways Experiments are hard for many reasons Near misses open up new kinds of experiment Collecting data about near misses is complex 2 Outline Science and learning from mistakes. K57781577405734757737576025774057759576165769357737576025771857754577445734757616577255771757630573475764057740577255771757347576025771157711573475835358348573475774457754576025775457630577445819757347h58200582005734757754576305774057740576935775457 Special deadlines apply See promo pieces for details JANUARY SAF Close November 6 Ad Close November 18 Newsstand December 19 Top Doctors Travel Best Destination Spas Professional Pro64257les Chicagoland Dental Pro64257les Excellence in Hospitals Wed Ending the AIDS epidemic by 2030 is possible but only by closing the gap between people who have access to HIV prevention treatment care and support services and people who are being left behind Closing the gap means empowering and enabling all peop 1 716 60 382 16 73 18 18 20 25 D4110 98 91 58 10 45 14 29 D4111 47 279 241 170 22 92 12 32 D4112 315 851 213 428 121 276 37 80 D4117 947 2358 1105 1357 647 823 95 493 86 86 D4124 283 494 152 358 173 499 296 3471 35 35 D4125 381 754 74 304 17 140 83 O 1 716 60 382 16 73 18 18 20 25 D4110 98 91 58 10 45 14 29 D4111 47 279 241 170 22 92 12 32 D4112 315 851 213 428 121 276 37 80 D4117 947 2358 1105 1357 647 823 95 493 86 86 D4124 283 494 152 358 173 499 296 3471 35 35 D4125 381 754 74 304 17 140 83 O Cache . III. Steve Ko. Computer Sciences and Engineering. University at Buffalo. 2. Last . time…. Basic cache architecture. Placement policy. Replacement policy. Average memory access time =. hit time + miss rate * miss penalty. Jan Reineke. j. oint work with Andreas Abel. . . Uppsala University. December 20, 2012 . The Timing Analysis Problem. Embedded Software. Timing Requirements. ?. Microarchitecture. +. What does the execution time of a program depend on?. Professor Alvin R. Lebeck. Computer Science 220. Fall . 2008. Admin. Work . on Projects. Read . NUCA paper. Review: ABCs of caches. Associativity. Block size. Capacity. Number of sets S = C/(BA). 1-way (Direct-mapped). Cache. Some material adapted from Mohamed Younis, UMBC CMSC 611 Spr 2003 course slides. Some material adapted from Hennessy & Patterson / © 2003 Elsevier Science. Control. Datapath. Secondary. Storage. Computer Architecture and Implementation. Montek Singh. Sep 14, 2016. Topic: . Optimization of Cache Performance. 2. Outline. Cache . Performance. Means of improving performance. Read . textbook Appendix B.3 and Ch. 2.2. BIOSes. Would you Like to Infect?. Corey . Kallenberg. . & . Xeno. . Kovah. About us. We . do digital . voodoo. Newly independent as of January 2015. The only company focused primarily on PC firmware security. Memory performance. (Part II: Optimizing for caches). Ding Yuan. ECE Dept., University of Toronto. http://www.eecg.toronto.edu/~yuan. Content. Cache . basics and . organization (last . lec. .). Optimizing for . Performance. CPU clock rates ~0.2ns – 2ns (5GHz-500MHz). Technology Capacity $/GB Latency. Tape 1 TB $.17 100s of seconds. Disk 1 TB $.08 Millions cycles (ms). SSD (Flash) 128GB $3 Thousands of cycles (us). Canton, New York. iramler@stlawu.edu. A Guitar Hero Based Project in Mathematical Statistics. Outline. Background and learning goals. Description of project. Some student based results. Tips for implementing in your classroom.