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CS 267: Applications of Parallel Computers Load Balancing

CS 267: Applications of Parallel Computers Load Balancing

CS 267: Applications of Parallel Computers Load Balancing. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr09. Outline. Motivation for Load Balancing Recall graph partitioning as load balancing technique Overview of load balancing problems, as determined by Task costs Task dependencies

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681 views • 47 slides
Executing Parallel Programs with Potential Bottlenecks Efficiently

Executing Parallel Programs with Potential Bottlenecks Efficiently

Executing Parallel Programs with Potential Bottlenecks Efficiently. University of Tokyo Yoshihiro Oyama Kenjiro Taura (visiting UCSD) Akinori Yonezawa. Programs We Consider. programs updating shared data frequently with mutex operations. Context: Implementation of concurrent OO langs

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547 views • 42 slides
Automatic Predicate Abstraction of C Programs

Automatic Predicate Abstraction of C Programs

Thomas Ball, Rupak Majumdar, Todd Millstein, Sriram K. Rajamani. In PLDI 01: Programming Language Design and Imple- mentation , 2001. Automatic Predicate Abstraction of C Programs. Presented by Yifan Li (yl2774@columbia.edu) November 22nd.

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629 views • 41 slides
CS510 Concurrent Systems Jonathan Walpole

CS510 Concurrent Systems Jonathan Walpole

CS510 Concurrent Systems Jonathan Walpole. Linux Kernel Locking Techniques. Locking In The Linux Kernel. Why do we need locking in the kernel? Which problems are we trying to solve? What implementation choices do we have? Is there a one-size-fits-all solution?. Concurrency in Linux.

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455 views • 31 slides
CS510 Concurrent Systems Jonathan Walpole

CS510 Concurrent Systems Jonathan Walpole

CS510 Concurrent Systems Jonathan Walpole. Linux Kernel Locking Techniques. Locking In The Linux Kernel. Why do we need locking in the kernel? Which problems are we trying to solve? What implementation choices do we have? Is there a one-size-fits-all solution?. Concurrency in Linux.

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319 views • 31 slides
Scalable Synchronization Algorithms in Multi-core Processors

Scalable Synchronization Algorithms in Multi-core Processors

Jeremy Denham April 7, 2008. Scalable Synchronization Algorithms in Multi-core Processors. Outline. Motivation Background / Previous work Experimentation Results Questions. Motivation. Modern processor design trends are primarily concerned with the multi-core design paradigm.

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276 views • 27 slides
Efficient Synchronization for Non-Uniform Communication Architecture

Efficient Synchronization for Non-Uniform Communication Architecture

Efficient Synchronization for Non-Uniform Communication Architecture. Uppsala University Department of Information Technology Uppsala Architecture Research Team [ UART ]. Zoran Radovic and Erik Hagersten {zoran.radovic, erik.hagersten}@it.uu.se. Synchronization Basics. A:=0. BARRIER.

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414 views • 26 slides
Multiprocessor Scheduling

Multiprocessor Scheduling

Multiprocessor Scheduling. Will consider only shared memory multiprocessor Salient features: One or more caches: cache affinity is important Semaphores/locks typically implemented as spin-locks: preemption during critical sections. Multiprocessor Scheduling.

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147 views • 13 slides
CMP Synchronization

CMP Synchronization

CMP Synchronization. Koushik Chakraborty Anu Vaidyanathan Philip Wells. Outline. Problem Overview Mutex Characterization Lock Arbiter Optimization Conclusions. Problem. Cost of Synchronization in a CMP (Focus on Mutex) Waiting on Contention Lock Transfer Mechanism

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213 views • 11 slides
Class Discussion

Class Discussion

Class Discussion. Questions. Why does concurrency make it much more difficult to reason about the correctness of programs (compared to sequential execution)? Why not just have sequential programming? Is concurrency becoming more or less relevant?. Questions.

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88 views • 7 slides

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