'Statement level' presentation slideshows

Lecture 7: Control Issues

Lecture 7: Control Issues. Reading: Sebesta Chp 8, 9.1-9.8, 10-3.10.6 Supplementary Texts: Pratt 8.1-8.3, Chp 9; Tucker & Noonan 4.5-4.6, 5.1-5.2 : Tucker & Noonan is not as comprehensive as it should be. Lecture 5,6. Control. Operations. Data.

1.26k views • 126 slides

Outline

The TAU Performance Technology for Complex Parallel Systems (Performance Analysis Bring Your Own Code Workshop, NRL Washington D.C.) Sameer Shende , Allen D. Malony, Robert Bell University of Oregon {sameer, malony, bertie}@cs.uoregon.edu. Outline. Motivation Part I: Instrumentation

1.26k views • 113 slides

Outline

The TAU Performance Technology for Complex Parallel Systems (Performance Analysis Bring Your Own Code Workshop, Building 1103 Room 236, NASA Stennis Space Center, MS 39529) Sameer Shende , Allen D. Malony, Robert Bell University of Oregon {sameer, malony, bertie}@cs.uoregon.edu. Outline.

1.25k views • 111 slides

Forgotten Features

1.25k views • 94 slides

Concurrency

957 views • 65 slides

SQL: The Query Language Part 3

635 views • 50 slides

Software Visualization

512 views • 50 slides

Advanced SQL: Triggers & Assertions

536 views • 36 slides

Advanced SQL: Triggers & Assertions

Advanced SQL: Triggers & Assertions. Instructor: Mohamed Eltabakh meltabakh@cs.wpi.edu. Triggers. Triggers: Introduction. The application constraints need to be captured inside the database Some constraints can be captured by:

1.26k views • 31 slides

360 degree feedback: facilitation advice for line managers

403 views • 29 slides

Data Concurrency

Data Concurrency. David Konopnicki 1997 Revised by Mordo Shalom 2004. Agenda. Data concurrency, integrity and consistency The automatic locking mechanism in ORACLE Explicit (manual) locking ORACLE lock management services. What are concurrency and consistency.

432 views • 28 slides

Parallel Processing & Parallel Algorithm

Parallel Processing & Parallel Algorithm. May 8, 2003 B4 Yuuki Horita. Chapter 3. Principles of Parallel Programming. Principles of Parallel Programming. Data Dependency Processors Communication Mapping Granularity. Data Dependency. data flow dependency data anti-dependency

599 views • 24 slides

Triggers

Triggers. Database Management System Design. Saba Aamir Computing and Software McMaster University. Introduction. A trigger is a statement that the system executes automatically as a side effect of a modification to the database.

410 views • 19 slides

Chapter 7

Chapter 7. Triggers and Active Databases. Trigger Overview. Element of the database schema General form: ON < event > IF < condition > THEN < action > Event - request to execute database operation

295 views • 16 slides

TBE: Writing Trigger Rules Visually

TBE: Writing Trigger Rules Visually. Wesley W. Chu Dept. of Computer Science UCLA. Introduction. Triggers: A useful feature for push technology (e.g., active DB, sensors). Difficult to understand and compose trigger rules. QBE (Query-By-Example) Visual query interface.

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Parallel Programming in C for Multiprocessor 多處理機平行程式設計

Parallel Programming in C for Multiprocessor 多處理機平行程式設計. 朱治平 成功大學資訊工程系. Questions. What is parallel computing? What is a parallel computer? - multicomputers - centralized multiprocessors (symmetrical multiprocessor or SMP) What is parallel programming? - algorithm level

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Parallel Programming in C for Multiprocessor ??????????

Parallel Programming in C for Multiprocessor ??????????. ??? ?????????. Questions. What is parallel computing? What is a parallel computer? - multicomputers - centralized multiprocessors (symmetrical multiprocessor or SMP) What is parallel programming? - algorithm level

325 views • 13 slides

Chapter 7

Chapter 7. Triggers and Active Databases. Trigger Overview. Element of the database schema General form: ON < event > IF < condition > THEN < action > Event - request to execute database operation

113 views • 11 slides