parallel.cc

ParC

ParC = Parallel C. This is the home page for the ParC project: extensions to C for lightweight multithreading in a way similar to that found in HDLs (e.g. Verilog and VHDL). The extended language should be a replacement for most HDLs and SystemC as well as being usable for programming many-core and distributed parallel systems. ParC is being developed as part of the V2000 open-source simulator project. Test Cases and Examples. Download the complete working development environment). Go here for the code).

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ParC | parallel.cc Reviews

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ParC = Parallel C. This is the home page for the ParC project: extensions to C for lightweight multithreading in a way similar to that found in HDLs (e.g. Verilog and VHDL). The extended language should be a replacement for most HDLs and SystemC as well as being usable for programming many-core and distributed parallel systems. ParC is being developed as part of the V2000 open-source simulator project. Test Cases and Examples. Download the complete working development environment). Go here for the code).

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1 motivation

2 philosophy

3 why c links

4 language features

5 modeling capabilities

6 methodology

7 try it out

8 parent project

9 links and commentary

10 other projects

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ParC | parallel.cc Reviews

https://parallel.cc

ParC = Parallel C. This is the home page for the ParC project: extensions to C for lightweight multithreading in a way similar to that found in HDLs (e.g. Verilog and VHDL). The extended language should be a replacement for most HDLs and SystemC as well as being usable for programming many-core and distributed parallel systems. ParC is being developed as part of the V2000 open-source simulator project. Test Cases and Examples. Download the complete working development environment). Go here for the code).

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parallel.cc

1

Language Features

http://parallel.cc/cgi-bin/bfx.cgi/lang_features.html

ParC is the full C language with some additions from other languages (particularly Verilog and VHDL). Any existing C/C can be mixed with ParC code. A process is the HDL equivalent of a thread: a block of code that runs continuously. Processes usually suspend and resume on events (described in an @ statement). Processes are class objects, and the process code is esentially a method, that method may defer to another method or "task". Processes can be independent or belong to a module (see below). In the ca...

2

Motivation

http://parallel.cc/cgi-bin/bfx.cgi/motivation.html

Problems with existing MT/parallel approaches. Having worked on a few SMP parallel processing projects using pThreads and Quickthreads with C/C , it became obvious fairly quickly that there are a number of problems with the approach:. Very hard to debug with more than a few threads running. Very expensive in CPU with a lot of threads due to the context switch overhead. Very hard to statically analyze or formally verify because of the dynamic nature of C/C code. Limited support for RF/Wireless modeling.

3

Why C++

http://parallel.cc/cgi-bin/bfx.cgi/cpp_links.html

Why C is still your best language choice.

4

Capabilities

http://parallel.cc/cgi-bin/bfx.cgi/capabilities.html

Wireless communication can can also be modeled with spectra and use ParC's signal resolution scheme to model free-space effects by considering transmitting antennas as drivers into a signal, and receiving antennas as receivers. Antenna characteristics (e.g. position, orientation, polarization etc.) are stored in the driver/receiver classes. So maybe with some genetic algorithms we'll get lucky.

5

Test Cases

http://parallel.cc/cgi-bin/bfx.cgi/test_cases.html

If the links to SourceForge are broken you can find the code here. Synchronous (clocked) version of life. Asynchronous version of life - video: Running. A process that prints "Hello World". Pipe with one source and two sinks. Pipe with one source and two sinks. Signal with one source and two sinks. Signal with explicit driver. Resolved signal with explicit drivers. Resolved signal with explicit drivers and hierarchy. Resolved signal with explicit drivers and hierarchy in templated module.

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bartoszmilewski.com

The Functional Revolution in C++ | Bartosz Milewski's Programming Cafe

https://bartoszmilewski.com/2014/06/09/the-functional-revolution-in-c

Bartosz Milewski's Programming Cafe. Concurrency, C , Haskell, Category Theory. June 9, 2014. The Functional Revolution in C. Posted by Bartosz Milewski under C. C is like an oil tanker — it takes a long time for it to change course. The turbulent reefs towards which C has been heading were spotted on the horizon more than ten years ago. Why do we need a new paradigm to deal with concurrency? Can’t we use object oriented programming with small modifications? Unfortunately, objects don’t compose in ...

futurechips.org

What makes parallel programming hard? | Future Chips

http://www.futurechips.org/tips-for-power-coders/parallel-programming.html

What makes parallel programming hard? Multi-cores are here, and they are here to stay. Industry trends show that each individual core is likely to become smaller and slower (see my post. To understand the reason). Improving performance of a single program with multi-core requires that the program be split into. Update 5/26/2011: I have also written a case study for parallel programming. Which may interest you. Why finding parallelism is hard? Why is debugging difficult? Say two threads T0 and T1 need to ...

en.wikipedia.org

Electronic system-level design and verification - Wikipedia, the free encyclopedia

https://en.wikipedia.org/wiki/Electronic_system_level

Electronic system-level design and verification. From Wikipedia, the free encyclopedia. Redirected from Electronic system level. This article contains wording that promotes the subject in a subjective manner. Without imparting real information. Please remove or replace such wording and instead of making proclamations about a subject's importance, use facts and attribution to demonstrate that importance. Learn how and when to remove this template message. Was first defined by Gartner Dataquest. Rapid and ...

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parallel.cc

ParC

ParC = Parallel C. This is the home page for the ParC project: extensions to C for lightweight multithreading in a way similar to that found in HDLs (e.g. Verilog and VHDL). The extended language should be a replacement for most HDLs and SystemC as well as being usable for programming many-core and distributed parallel systems. ParC is being developed as part of the V2000 open-source simulator project. Test Cases and Examples. Download the complete working development environment). Go here for the code).

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