PPT-On Tuning Microarchitecture

for Programs Daniel Crowell Wenbin Fang and Evan Samanas Summary A flexible framework for microarchitecture adaptivity which separates software policies from hardware mechanism C ase study adaptive cache. 49 BelAir 103 Levis Qc Canada G6V 6K9 mrueltopcontrolcom Keywords Process Control Optimization Oscilla tion Model PID Control Closed L oop Open Loop Stiction Backlash Non linearity Pseudorandombinary Sequence Generalized Binary Noise ABSTRACT Tradit Router . Microarchitecture. & Network Topologies. Daniel U. Becker,. James Chen, Nan Jiang,. Prof. William J. Dally. Concurrent VLSI Architecture Group. Stanford University. Outline. Introduction. ©Chad Kersey and Sudhakar Yalamanchili unless otherwise noted. Objectives. Detailed look at the implementation of a SIMT GPU. Example of the type of information propagated down the pipeline. Basis for the next assignment and the default project. 6.375 Final Project. Ming Liu, . Shuotao. . Xu. Motivation. Today’s Database Management Systems (DBMS): software running on a standard operating system on a general purpose CPU. DBMS frequently used in analytics and scientific computing, but bottlenecked by:. Paolo Romano. Based on ICAC’14 paper. N. . . Diegues. and Paolo Romano. Self-Tuning Intel Transactional Synchronization Extensions. 11. th . USENIX International Conference . on Autonomic Computing (. la microarchitecture. !. Burton Smith. Microsoft. Verities. Parallelism is now our lifeblood. We must be able to use all varieties of it. Locality is still important, especially spatial. Pollack’s Rule (AKA AT. 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.. Daniel U. Becker. PhD Oral Examination. 8/21/2012. Concurrent. VLSI. Architecture. Group. Outline. INTRODUCTION. Allocator Implementations. Buffer Management. Infrastructure. Conclusions. Efficient Microarchitecture for NoC Routers. ©Chad Kersey and Sudhakar Yalamanchili unless otherwise noted. Objectives. Detailed look at the implementation of a SIMT GPU. Example of the type of information propagated down the pipeline. Basis for the next assignment and the default project. ©Chad Kersey and Sudhakar Yalamanchili unless otherwise noted. Objectives. Detailed look at the implementation of a SIMT GPU. Example of the type of information propagated down the pipeline. Basis for the next assignment and the default project. Objectives. Detailed look at the implementation of a SIMT GPU. Example of the type of information propagated down the pipeline. Basis for the next assignment and the default project. Reading. C. Kersey, “HARP Instruction Set Manual”. The Tuning Process. Benefits of Tuning. Why Tuning is Different. What is Tuning?. A collaborative, faculty-driven . process that . “harmonizes” curricula around defining what a . student should know and be able to do in a chosen . Required. : PM. : . Ch. 8.1-3, . pgs. 109-114. Code: . Ch. 17, . pgs. 206-237. Recommended. : . Wiki. : Microarchitecture. . Wiki. : . Addressing_mode. . Wiki. : Three-state . logic. Lab. Chad Kersey, . Hyesoon. Kim, . S.Yalamanchili. Georgia Institute of Technology. Agenda. Motivations. Design Objectives. The HARP Infrastructure. The HARP ISA. The HARP Compiler. Harmonica Microarchitecture.