'Sd 8 r1' diaporamas de présentation

Lecture 7: Dynamic Branch Prediction, Superscalar, VLIW, and Software Pipelining

624 views • 43 slides

John Kubiatowicz Electrical Engineering and Computer Sciences University of California, Berkeley

CS252 Graduate Computer Architecture Lecture 5 Software Scheduling around Hazards Out-of-order Scheduling February 2 nd , 2011. John Kubiatowicz Electrical Engineering and Computer Sciences University of California, Berkeley http://www.eecs.berkeley.edu/~kubitron/cs252. PC saved

393 views • 39 slides

Review

410 views • 29 slides

ILP: Software Approaches

331 views • 27 slides

CS152 Computer Architecture and Engineering Lecture 15 Advanced pipelining/Compiler Scheduling

CS152 Computer Architecture and Engineering Lecture 15 Advanced pipelining/Compiler Scheduling. Review: Pipelining. Key to pipelining: smooth flow Making all instructions the same length can increase performance! Hazards limit performance Structural: need more HW resources

366 views • 23 slides

Lecture 21: Advanced pipelining techniques

Lecture 21: Advanced pipelining techniques. Michael B. Greenwald Computer Architecture CIS 501 Fall 1999. Scheduling. Scheduling does not remove dependencies , it just reduces hazards/stalls. static scheduling : separate dependent instructions to minimize hazards/stalls

309 views • 21 slides

Lecture 8 Advanced Pipeline

Lecture 8 Advanced Pipeline. Technique Reduces. Advanced Pipelining and Instruction Level Parallelism. Loop unrolling Control stalls Basic pipeline scheduling RAW stalls Dynamic scheduling with scoreboarding RAW stalls Dynamic scheduling with register renaming WAR and WAW stalls

345 views • 19 slides

Pipelining 5

Pipelining 5. Two Approaches for Multiple Issue. Superscalar Issue a variable number of instructions per clock Instructions are scheduled either statically or dynamically VLIW (Very Long Instruction Word)

313 views • 19 slides

Instruction Level Parallelism: Loop Level Parallelism

Instruction Level Parallelism: Loop Level Parallelism. Pipelining and Exploiting Instruction-Level Parallelism (ILP). Pipelining increases performance by overlapping the execution of independent instructions. The CPI of a real-life pipeline is given by:

203 views • 15 slides