'Unrolled loop' presentation slideshows

These slides originate with content provided by Dr. David Patterson,

EEL 5764 Graduate Computer Architecture Chapter 2 - Instruction Level Parallelism and Its Exploitation. Drs. Alan D. George and Vikas Aggarwal Department of Electrical and Computer Engineering University of Florida http://www.hcs.ufl.edu/~george/EEL5764_Fa2011.html.

1.39k views • 125 slides

Advanced Computer Architecture

Advanced Computer Architecture. Chapter 4 Advanced Pipelining Ioannis Papaefstathiou CS 590.25 Easter 2003 (thanks to Hennesy & Patterson). Chapter Overview. 4.1 Instruction Level Parallelism: Concepts and Challenges 4.2 Overcoming Data Hazards with Dynamic Scheduling

1.38k views • 108 slides

VLIW, Software Pipelining, and Limits to ILP

VLIW, Software Pipelining, and Limits to ILP. Review: Tomasulo. Prevents Register as bottleneck Avoids WAR, WAW hazards of Scoreboard Allows loop unrolling in HW Not limited to basic blocks (provided branch prediction) Lasting Contributions Dynamic scheduling Register renaming

667 views • 52 slides

CPE 631: ILP, Static Exploitation

CPE 631: ILP, Static Exploitation. Electrical and Computer Engineering University of Alabama in Huntsville Aleksandar Milenkovic, milenka@ece.uah.edu http://www.ece.uah.edu/~milenka. Outline. Basic Pipeline Scheduling and Loop Unrolling Multiple Issue: Superscalar, VLIW

430 views • 24 slides

CSC 4250 Computer Architectures

CSC 4250 Computer Architectures. November 14, 2006 Chapter 4. Instruction-Level Parallelism & Software Approaches. Fig. 4.1. Latencies of FP ops in Chap. 4. The last column shows the number of intervening clock cycles needed to avoid a stall

420 views • 23 slides

Lecture 17: Instruction Level Parallelism

341 views • 22 slides

An Evaluation of Staged Run-Time Optimizations in DyC

An Evaluation of Staged Run-Time Optimizations in DyC. Brian Grant, Matthai Philipose, Markus Mock, Craig Chambers, and Susan J. Eggers presented by Laura Hiatt April 28, 2006. Run-Time Optimizations Motivation. In static optimizations, optimize based on static invariants

306 views • 20 slides

Computer Architecture Principles Dr. Mike Frank

Computer Architecture Principles Dr. Mike Frank. CDA 5155 Summer 2003 Module #21 Multiple Issue Pipelining: Superscalar, VLIW, etc. Multiple Issue. Multiple Issue (3.6). Goal: Enable multiple instructions to be issued in a single clock cycle. (Can get CPI < 1!)

284 views • 19 slides

Static Scheduling for ILP

Static Scheduling for ILP. Professor Alvin R. Lebeck Computer Science 220 / ECE 252 Fall 2008. Admin. Homework #2 Due Today Homework #3 Assigned Projects Short written proposal (Problem, solution, methods) Reading H&P Chapter 2 & 3 (suggested) EPIC. Summary of Pipelining Basics.

286 views • 18 slides

Characterization and Evaluation of Hardware Loop Unrolling

Characterization and Evaluation of Hardware Loop Unrolling. Marcos R. de Alba and David R. Kaeli. BARC 2003 Cambridge, MA January 30, 2003. Motivation.

279 views • 18 slides

Lecture 11: Advanced Static ILP

Lecture 11: Advanced Static ILP. Topics: loop unrolling, software pipelining (Section 4.4). Loop Dependences. If a loop only has dependences within an iteration, the loop is considered parallel ? multiple iterations can be executed

158 views • 15 slides