コンピュータアーキテクチャ特論

Starts on the 26th of September Fundamentals of Quantitative Design and Analysis(1/2) Defining Computer Architecture, Trends in Technology, Power, Cost Fundamentals of Quantitative Design and Analysis(2/2) Dependability, Performance, Quantitative Principle of Computer Design Memory Hierarchy(1/2) Memory Technology and Optimizations, Optimization of Cache Performance Memory Hierarchy(2/2) Virtual Memory and Virtual Machines Instruction-Level Parallelism(1/3) Concepts and Challenges, Compiler Techniques for Exploiting ILP, Branch Prediction Instruction-Level Parallelism(2/3) Dynamic Scheduling, Hardware Based Speculation, Instruction-Level Parallelism(3/3) Exploiting ILP using Multiple Issue and Static Scheduling / Dynamic Scheduling and Speculation Data-Level Parallelism(1/2) Vector Architectures Data-Level Parallelism(2/2) SIMD Architectures / GPGPUs Thread-Level Parallelism(1/2) Centralized Shared-Memory Architectures Thread-Level Parallelism(2/2) Distributed Shared-Memory and Directory Based Coherence, Synchronization, Memory Consistency Warehouse Scale Computers (1/1) Data Center Architectures / Cloud Domain-Specific Architectures(1/1) Guide Lines for DSAs, Deep Neural Networks, Tensor Processing Unit

Lectures with discussions.

Attendance Rate and Test

John L. Hennessy, David Patterson Computer Architecture A Quantative Approach 6th Edition

David Patterson/John Hennesy Computer Organization & Design The Hardware/Software Interface Sixth Edition

It is assumed that the student has knowledge on concepts of computer architecture given on 3rd year class on computer architecture such as, Instruction Set Architecture, Basic Computer Architecture, Pipeliningg, Cache, Memory Hierarchy