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  Bibliography on Threads and Multithreading http://liinwww.ira.uka.de/bibliography/Os/threads.html
Part of the Computer Science Bibliography Collection.
  comp.programming.threads FAQ http://www.serpentine.com/blog/threads-faq/
Frequently asked questions (by Bryan O'Sullivan).
  Fundamentals of Multithreading http://www.slcentral.com/articles/01/6/multithreading/
Technical article, covering Amdahl's Law, latencies and bandwidth, on-chip multiprocessing, Jackson technology, and simultaneous multithreading. (SystemLogic.net)
  The Free Lunch Is Over: A Fundamental Turn Toward Concurrency in Software http://www.gotw.ca/publications/concurrency-ddj.htm
The biggest sea change in software development since the OO revolution is knocking at the door, and its name is Concurrency.
  Protothreads http://www.sics.se/~adam/pt/
Very lightweight stackless threads; give linear code execution for event-driven systems, designed to use little memory; library is pure C, no platform-specific Assembly; usable with or without OS. Open source, BSD-type license.
  State Threads Library http://state-threads.sourceforge.net/
Small application library for writing fast, highly scalable Internet programs on Unix-like platforms. Open source, MPL or GPL.
  Foundations of Multithreaded, Parallel, and Distributed Programming http://www.pearsonhighered.com/educator/academic/product/0,,0201357526,00%2ben-USS_01DBC.html
This book teaches the fundamental concepts of multithreaded, parallel and distributed computing. Emphasizes how to solve problems, with correctness the primary concern and performance an important, but secondary, concern. (Gregory R. Andrews)
  Survey of Threads http://www.northco.net/chenke/project/project2.html
Comparing Solaris, Linux, and Windows NT threads.
  comp.programming.threads FAQ http://www.lambdacs.com/cpt/FAQ.html
Bil Lewis's collection of frequently asked questions.
  Multi-threaded Algorithm Implementations http://broadcast.oreilly.com/2009/06/may-column-multithreaded-algor.html
Explores effective uses of threads by looking at a multi-threaded implementation of the QuickSort algorithm and reports on situations where using threads will not help.
  It's (Not) All Been Done http://www.gotw.ca/publications/guest-ed-200609.htm
Every decade or so there is a major revolution in the way software is developed. But, unlike the object and web revolutions, the concurrency revolution can be seen coming.
  Avoiding the Perils of C++0x Data Races http://www.devx.com/cplus/Article/42725
Find out what dangers race conditions in general and C++0x data races in particular pose to concurrent code, as well as the strategies for avoiding them.
  Break Up and Interleave Work to Keep Threads Responsive http://www.ddj.com/go-parallel/article/showArticle.jhtml?articleID=217801299
Breaking up is hard to do, but interleaving can be even subtler.
  Priority Inheritance Protocols http://www-md.e-technik.uni-rostock.de/ma/gol/rtsys-bib/90-toc-pcp.pdf
Use of synchronization mechanisms like semaphores, monitors, and critical regions can lead to uncontrolled priority inversion.
  Generic Synchronization Policies in C++ http://www.ciaranmchale.com/gsp/
Most uses of synchronization code in multi-threaded applications fall into a small number of high-level “usage patterns”, or what can be called generic synchronization policies (GSPs). This paper illustrates how the use of such GSPs simplify the writing of thread-safe classes. In addition, this paper presents a C++ class library that implements commonly-used GSPs.
  Concurrent Programming: Principles and Practice http://www.pearsonhighered.com/educator/academic/product/0,,0805300864,00%2ben-USS_01DBC.html
This book provides an in-depth overview of underlying principles as well as practical techniques that can be used to design concurrent programs. (Greg Andrews)
  A Thread Performance Comparison http://www.usenix.org/publications/library/proceedings/usenix-nt98/full_papers/zabatta/zabatta_html/zabatta.html
Compares Windows NT and Solaris on a symmetric multiprocessor machine.
  Design for Manycore Systems http://www.ddj.com/go-parallel/article/showArticle.jhtml?articleID=219200099
This column is about why it's time right now to think about systems with lots of cores. In short: Software is the (only) gating factor; as that gate falls, hardware parallelism is coming more and sooner than many people yet believe.
  Lock Options http://www.ddj.com/cpp/212201754
Presents a solution to races and deadlocks based on a well-known deadlock-avoidance protocol and shows how it can be enforced by the compiler. It can be applied to programs in which the number of locks is fixed and known up front.
  Deadlock: The Problem and a Solution http://www.codeguru.com/cpp/misc/misc/threadsprocesses/article.php/c15545/
This article explains what deadlocks are and describes ways of circumventing deadlocks.
  Maximize Locality, Minimize Contention http://www.ddj.com/hpc-high-performance-computing/208200273
Explains why in the concurrent world, locality is a first-order issue that trumps most other performance considerations. Now locality is no longer just about fitting well into cache and RAM, but to avoid scalability busters by keeping tightly coupled data physically close together and separately used data far, far apart.
  Practical Lock-Free Buffers http://www.ddj.com/go-parallel/article/showArticle.jhtml?articleID=219500200
Looks at how lock-free programming avoids system failure by tolerating individual process failures.
  Use Thread Pools Correctly: Keep Tasks Short and Nonblocking http://www.ddj.com/go-parallel/article/showArticle.jhtml?articleID=216500409
A thread pool hides a lot of details, but to use it effectively some awareness of some things a pool does under the covers is needed to avoid inadvertently hitting performance and correctness pitfalls.
  Use Lock Hierarchies to Avoid Deadlock http://www.ddj.com/cpp/204801163
Explains how to use lock hierarchies to avoid deadlock by assigning each shared resource a level that corresponds to its architectural layer.
  Use Threads Correctly = Isolation + Asynchronous Messages http://www.ddj.com/go-parallel/article/showArticle.jhtml?articleID=215900465
Motivates and illustrate best practices for using threads - techniques that will make concurrent code easier to write correctly and to reason about with confidence.
  http://www.risc.uni-linz.ac.at/software/rt++/ http://www.risc.uni-linz.ac.at/software/rt++/
Higher order threads for C++; tutorial and reference manual.
  The Pillars of Concurrency http://www.ddj.com/cpp/200001985
This article makes the case that a consistent mental model is needed to talk about concurrency.
  The Many Faces of Deadlock http://www.ddj.com/cpp/209900973
Explains that deadlock can happen whenever there is a blocking (or waiting) cycle among concurrent tasks.
  Writing Lock-Free Code: A Corrected Queue http://www.ddj.com/cpp/210604448
Explores lock-free code by focusing on creating a lock-free queue.
  Sharing Is the Root of All Contention http://www.ddj.com/hpc-high-performance-computing/214100002
Sharing requires waiting and overhead, and is a natural enemy of scalability. This article focuses on one important case, namely mutable (writable) shared objects in memory, which are an inherent bottleneck to scalability on multicore systems.
  Multi-threaded Debugging Techniques http://www.ddj.com/cpp/199200938
Describes a number of general purpose debugging techniques for multi-threaded applications.
  Fundamental Concepts of Parallel Programming http://www.ddj.com/hpc-high-performance-computing/212002418
Explains fundamental concepts for moving from a linear to a parallel programming model
  Sutter Speaks: The Future of Concurrency http://www.devx.com/go-parallel/Article/37839
What does the future hold for concurrency? What will happen to the tools and techniques around concurrent programming? In part two of our series, concurrency guru Herb Sutter talks about these issues and what developers need to be reading to understand concurrency.
  Sutter Speaks: A Conversation with the Concurrency Whisperer http://www.devx.com/go-parallel/Article/37573
Multi- and many-core chips are entering the mainstream — and one of the first software development authorities to take note was C++ expert Herb Sutter. Thanks to his practical insights, a new generation may grok concurrency sooner than previously thought possible.
  Multithreaded File I/O http://www.ddj.com/cpp/220300055
So far multithreaded file I/O is a under-researched field. Although its simple to measure, there is not much common knowledge about it. The measurements presented here show that multithreading can improve performance of file access directly, as well as indirectly by utilizing available cores to process the data read.
  Introduction to Priority Inversion http://www.embedded.com/story/OEG20020321S0023
Gives an introduction to priority inversion and shows a pair of techniques to avoid them.
  Software and the Concurrency Revolution http://acmqueue.com/modules.php?name=Content&pa=showpage&pid=332
Focuses on the implications of concurrency for software and its consequences for both programming languages and programmers. (Herb Sutter and James Larus)
  The Problem with Threads http://www.computer.org/portal/site/computer/menuitem.5d61c1d591162e4b0ef1bd108bcd45f3/index.jsp?&pName=computer_level1_article&TheCat=1005&path=computer/homepage/0506&file=cover.xml&xsl=article.xsl&
Argues that for concurrent programming to become mainstream, threads must be discarded as a programming model. Nondeterminism should be judiciously and carefully introduced where needed, and it should be explicit in programs.
  Concurrency with Erlang http://dsonline.computer.org/portal/site/dsonline/menuitem.9ed3d9924aeb0dcd82ccc6716bbe36ec/index.jsp?&pName=dso_level1&path=dsonline/2007/10&file=w5tow.xml&xsl=article.xsl&
To avoid problems with shared state working with multiple threads, Vinoski recommends a programming language like Erlang rather than C++ or Java.
  Apply Critical Sections Consistently http://www.ddj.com/cpp/202401098
Critical sections are the One True Tool for guaranteeing mutual exclusion on shared variables. Like most tools, these must be applied consistently, and with the intended meanings.
  Application-Level Abstractions for Lock-Free Data Sharing http://www.ddj.com/cpp/205200452
Describes lock-free data sharing, otherwise known as "wait-free data sharing" as an alternative to the use of locks.
  Lock-free Interprocess Communication http://www.ddj.com/cpp/189401457
Interprocess communication is an essential component of modern software engineering. Often, lock-free IPC is accomplished via special processor commands. This article propose a communication type that requires only atomic writing of processor word from processor cache into main memory and atomic processor word reading from main memory into the processor register or processor cache.
  It's Not Always Nice To Share http://www.ddj.com/cpp/217600495
It isn't just languages that have poor support for thread local storage, but operating systems too
  Lock-Free Code: A False Sense of Security http://www.ddj.com/cpp/210600279
Writing lock-free code can confound anyone-even expert programmers, as Herb shows in this article.
  volatile - Multithreaded Programmer's Best Friend http://www.ddj.com/cpp/184403766
Discusses the usage of the volatile keyword in multithreaded C++ programs.
  Real-world Concurrency http://www.acmqueue.com/modules.php?name=Content&pa=showpage&pid=554
Describes some key principles that will help mastering the "black art" of writing multithreaded code.
  Measuring Parallel Performance: Optimizing a Concurrent Queue http://www.ddj.com/cpp/212201163
Shows different ways of how to write a fast, internally synchronized queue, one that callers can use without any explicit external locking or other synchronization, and compares the performance.
  Understanding Parallel Performance http://www.ddj.com/cpp/211800538
Explains how to accurately analyze the real performance of parallel code and lists some basic considerations and common costs.
  What's New in Boost Threads? http://www.ddj.com/cpp/211600441
The Boost.Thread library, which enables the use of multiple threads of execution with shared data in portable C++ code, has undergone some major changes.

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