'Computer science massachusetts institute' presentation slideshows

Martin Rinard Laboratory for Computer Science Massachusetts Institute of Technology

MIT 6.035 Conversion to Low Level Intermediate Representation Unstructured Flow of Control and Instruction Flattening. Martin Rinard Laboratory for Computer Science Massachusetts Institute of Technology.

1.15k views • 104 slides

Design-Driven Compilation

Design-Driven Compilation. Radu Rugina and Martin Rinard Laboratory for Computer Science Massachusetts Institute of Technology. Goal: Parallelization. Computation. +. Fully Automatic. Design Driven. Overview. Analysis Problems: Points-to Analysis, Region Analysis. Two Potential

870 views • 76 slides

Recursion Unrolling for Divide and Conquer Programs

Recursion Unrolling for Divide and Conquer Programs. Radu Rugina and Martin Rinard Laboratory for Computer Science Massachusetts Institute of Technology. What This Talk Is About. Automatic generation of efficient large base cases for divide and conquer programs. Outline.

882 views • 75 slides

Pointer and Escape Analysis for Multithreaded Programs

Pointer and Escape Analysis for Multithreaded Programs. Alexandru Salcianu Martin Rinard Laboratory for Computer Science Massachusetts Institute of Technology {salcianu, rinard}@lcs.mit.edu. Goal. Automatically extract precise points-to and escape information for multithreaded programs.

881 views • 69 slides

A Parameterized Type System for Race-Free Java Programs

A Parameterized Type System for Race-Free Java Programs. Chandrasekhar Boyapati Martin Rinard Laboratory for Computer Science Massachusetts Institute of Technology {chandra, rinard}@lcs.mit.edu. Data races in multithreaded programs. Two threads concurrently access same data

782 views • 67 slides

Automatic Parallelization of Divide and Conquer Algorithms

Automatic Parallelization of Divide and Conquer Algorithms. Radu Rugina and Martin Rinard Laboratory for Computer Science Massachusetts Institute of Technology. Outline. Example Information required to parallelize divide and conquer algorithms How compiler extracts parallelism

836 views • 62 slides

Ownership Types for Safe Region-Based Memory Management in Real-Time Java

722 views • 60 slides

Component Composition for Embedded Systems Using Semantic Aspect-Oriented Programming

Component Composition for Embedded Systems Using Semantic Aspect-Oriented Programming. Martin Rinard Laboratory for Computer Science Massachusetts Institute of Technology F33615-00-C-1692. Problem Description.

476 views • 38 slides

A Synthesis Algorithm for Modular Design of Pipelined Circuits

A Synthesis Algorithm for Modular Design of Pipelined Circuits. Maria-Cristina Marinescu Martin Rinard Laboratory for Computer Science Massachusetts Institute of Technology. Overall Goal. Efficient, Synchronous, Parallel Implementation in Synthesizable Verilog. Modular,

484 views • 35 slides

High-level Specification and Efficient Implementation of Pipelined Circuits

High-level Specification and Efficient Implementation of Pipelined Circuits . Maria-Cristina Marinescu Martin Rinard Laboratory for Computer Science Massachusetts Institute of Technology. Overall Goal. Efficient, Synchronous, Parallel Implementation in Synthesizable Verilog.

342 views • 33 slides

Credible Compilation With Pointers

Credible Compilation With Pointers. Martin Rinard and Darko Marinov Laboratory for Computer Science Massachusetts Institute of Technology. Goal. Compiler. Source Code (C, Java). Proof that Object Code Implements Source Code. Object Code. Proof Checker. Yes. No. Proposed Approach.

404 views • 30 slides

How to Get Into Graduate School in the USA: A Lecture and Workshop Bill Thies and Manish Bhardwaj thies@mit

How to Get Into Graduate School in the USA: A Lecture and Workshop Bill Thies and Manish Bhardwaj thies@mit.edu. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Birla Institute of Technology, Patna October 21, 2008. Acknowledgments.

542 views • 25 slides

Some Advances in Transformation-Based Part of Speech Tagging

Some Advances in Transformation-Based Part of Speech Tagging. A Maximum Entropy Approach to Identifying Sentence Boundaries. Eric Brill. Jeffrey C. Reynar and Adwait Ratnaparkhi. Presenter Sawood Alam <salam@cs.odu.edu>. Some Advances in Transformation-Based Part of Speech Tagging.

345 views • 21 slides