#Parallels network slow software#
The systems approach Lesson from RISCs Hardware software tradeoffs Functionality implemented at the right level Hardware Runtime system Compiler Language, Programmer Algorithm
#Parallels network slow full#
Unfortunately Requirements and constraints are often at odds with each other! Architecture -> making tradeoffs Full connectivity ! Gasp!!! Wires Area Propogation speed Clock Power VLSI I/O pin limitations Chip area Chip crossing delay Can not make light go any faster Three dimensions max KISS ruleġ0 Major theme Look at typical applicationsĪRCHITECTURE Application requirements Technological constraints Look at typical applications Understand physical limitations Make tradeoffsġ1 Requirements and constraints are often at odds with each other! Specialized support for synchronization across multiple processorsĩ Technology -> Limitations & Opportunities Relaxation So, let’s build a special machine! But pitfalls!įaster algorithms appear ... with different communication requirements Cost effectiveness Economies of scale Simpler hardware & software mechanisms More flexible May even be faster! e.g. communication Numeric comp - Floating point Symbolic - Tags, branches Database - I/O Data parallel - Barrier synchronicity Dictionary - Memory, I/Oħ Communication requirements -> Example Relaxation - near-neighbor communication Multigrid - 1, 2, 4, 8. Processing Communication Memory I/O Synchronization Architect must provide all of the above Numeric Symbolic Combinatorial Why build parallel machines? To help build even bigger parallel machines To help solve important problems Speed – more trials, less time Cost Larger problems Accuracy Must understand typical problemsĤ MIT Computer Architecture Group – early 1990’s Notes to Patterson: You may want to edit the slides in your section or add extra slides to taylor your needs. This covers everything he covers in his first lecture (and more) but may We will save the fun part, “ Levels of Organization,” at the end (so student can stay awake): I will show the internal stricture of the SS10/20. I have rearranged Culler’s lecture slides slightly and add more slides. I just want to use this to do my own planning. Interactive: your questions welcome! Grading 6 Homework assignments (30%) Mid-term exam (35%) Final exam (35%) Experiments with network and cache simulators Culler text – research papers Acknowledgment Prof Anant Agarwal (MIT) Prof David Culler (California – Berkeley) credential: bring a computer die photo wafer : This can be an hidden slide.
Russell Tessier Department of Electrical and Computer Engineering Give qualifications of instructors: DAP teaching computer architecture at Berkeley since 1977 Co-athor of textbook used in class Best known for being one of pioneers of RISC currently author of article on future of microprocessors in SciAm Sept 1995 RY took 152 as student, TAed 152,instructor in 152 undergrad and grad work at Berkeley joined NextGen to design fact 80x86 microprocessors one of architects of UltraSPARC fastest SPARC mper shipping this FallĢ Welcome to ECE 669/CA720-A Parallel computer architectures Presentation on theme: "Parallel Computer Architecture Lecture 1 Course Introduction"- Presentation transcript:ġ Parallel Computer Architecture Lecture 1 Course Introduction