'Basic block' presentation slideshows

Optimization & Code Generation

Optimization & Code Generation. Objectives. To learn about Issues In The Design Of Code Generators Basic Blocks And Flow Graphs Next-use Information A Simple Code Generator Register Allocation & Assignment The Dag Representation Of Basic Blocks. Source Code. Symbol Table. Front End.

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Partial Redundancy Elimination

Partial Redundancy Elimination. The material in these slides have been taken from the slides "Lazy Code Motion" 2011, by Keith D. Cooper & Linda Torczon . The running example was taken from the Dragon Book, 3 rd Edition, Section 9.5. Partial Redundancy Elimination.

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Programming SECTION 7

Programming SECTION 7. Procedures and Functions. Introduction. SQL is only a query language. SQL does not have features that allow sophisticated computations. Users need more sophisticated SQL-oriented programming capabilities. Microsoft SQL solution Stored Procedures and Functions

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Shimin Chen LBA Reading Group Presentation

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Methodologies for Performance Simulation of Super-scalar OOO processors

Methodologies for Performance Simulation of Super-scalar OOO processors. WORK IN PROGRESS ?. Srinivas Neginhal Anantharaman Kalyanaraman CprE 585: Survey Project. Introduction. Modeling. Simulation. ProcessorDesign. Performance Study. Architectural Simulators. Explore Design Space

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Detector R&D for Mu on Ch amber Anand K. Dubey For VECC group

Detector R&D for Mu on Ch amber Anand K. Dubey For VECC group. CBM Muon detector requirements:. Main issues: The first plane(s) has a high density of tracks -- detector should be able to cope up with high rate. ~ 10 MHz/cm 2 good position resolution

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Lecture #12, May 15, 2007

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Hardware-Software Cosynthesis for Microcontrollers

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Hardware-Based Speculation

Hardware-Based Speculation. Exploiting More ILP. Branch prediction reduces stalls but may not be sufficient to generate the desired amount of ILP One way to overcome control dependencies is with speculation Make a guess and execute program as if our guess is correct

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Optimizing Compilers CISC 673 Spring 2009 Instruction Scheduling

Optimizing Compilers CISC 673 Spring 2009 Instruction Scheduling. John Cavazos University of Delaware. Instruction Scheduling. Reordering instructions to improve performance Takes into account anticipated latencies Machine-specific Performed late in optimization pass

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Pipelining and Exploiting Instruction-Level Parallelism (ILP)

Pipelining and Exploiting Instruction-Level Parallelism (ILP). Pipelining and Instruction-Level Parallelism. Definition of basic instruction block Increasing Instruction-Level Parallelism (ILP) & Size of Basic Block: Using Loop Unrolling MIPS Loop Unrolling Example.

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The GAP Processor A Processor with a Two-dimensional Execution Unit

The GAP Processor A Processor with a Two-dimensional Execution Unit Sascha Uhrig , Basher Shehan, Ralf Jahr University of Augsburg. Outline. Motivation Basic Idea and Architecture Optimizations Evaluation Summary & Future Work. Motivation. Current processor design

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Run-Time Randomization to Mitigate Tampering

Run-Time Randomization to Mitigate Tampering. Bertrand Anckaert , Koen De Bosschere Ghent University Mariusz Jakubowski , Ramarathnam Venkatesan Microsoft Research. Second International Workshop on Security, Nara (Japan) October 29 th 2007.

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Advanced Compilers CMPSCI 710 Spring 2003 Common Subexpression Elimination

Advanced Compilers CMPSCI 710 Spring 2003 Common Subexpression Elimination. Emery Berger University of Massachusetts, Amherst. Topics. Last time Dynamic storage allocation, garbage collection This time Common subexpression elimination Value numbering Global CSE. Determining Equivalence.

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Instruction Selection

Leonidas Fegaras. Instruction Selection. Basic Blocks and Traces. Many computer architectures have instructions that do not exactly match our IR representations they do not support two-way branching as in CJUMP(op,e1,e2,l1,l2) ?

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Using Phoenix for Exploring Whole Execution Traces

Using Phoenix for Exploring Whole Execution Traces. Rajiv Gupta Sriraman Tallam & Xiangyu Zhang The University of Arizona. Whole Execution Traces. Values Computed. Control Flow. Dependences Exercised. Comprehensive Compact [ MICRO 2004 ]. Addresses Referenced.

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DAG and Peep hole optimization

DAG and Peep hole optimization. G Shravan Kumar Reddy 04cs3023. Issues of optimization 1) Breaking into basic blocks. 2) Within block (Normalization optimization) 3) Among blocks. Things to consider for Normalization optimization 1) Temporary variable minimization.

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TARGET CODE GENERATION

TARGET CODE GENERATION. A basic block is a sequence of consecutive statements in which flow of control enters at the beginning and exit at the end. Transformation on Basic Blocks. Structure preserving transformation: 1. Common sub-expression elimination . Consider the basic block

274 views • 7 slides