9781934356937 The dRuby book; distributed and parallel computing with Ruby.
What does PARCO stand for?
PARCO stands for Parallel Computing (Conference)
This definition appears frequently and is found in the following Acronym Finder categories:
- Information technology (IT) and computers
See other definitions of PARCO
- Public Affairs Research Council of Alabama (Samford University; Birmingham, AL)
- Parabolic Aluminized Reflector (canrefers to the lighting instrument that houses the PAR)
- Parallel Can (theatre light)
- Partnership for Assessment of Readiness for College and Careers
- Precision, Accuracy, Representativeness, Comparability and Completeness
- Pan African Roman Catholic Clergy Conference
- Precision, Accuracy, Representativeness, Completeness, Comparability and Sensitivity (Massachusetts Department of Environmental Protection)
- Property Assessment Reporting to Centralize and Evaluate Liability
- Partial Clover (as opposed to a rotary)
- Pak Arab Refining Company
- Portland Advanced Research Company (Portland, OR)
- Professional Arson Cooperative of Florida
- Public Administration Reform Coordinator's Office (Bosnia and Herzegovina)
- Pan Afrikan Reparations Coalition of Europe
- Peacetime Airborne Reconnaissance Program
- Parallel Computing Solution of the Simulation of Waste Disposal Problems
- Partial Correlation
- Paleoenvironmental Arctic Science (US NOAA)
- Parking and Revenue Control System
- Perimeter Acquisition Radar Attack Characterization System
Samples in periodicals archive:
of Houston, US; Grand Equipement National de Calcul Intensif, France; TU Clausthal, Germany; Philips Research, the Netherlands; and Institut National de Recheche en Informatique et en Automatique, France) present 85 selected and refereed papers from the international Parallel Computing conference held at the Ecole Normale Supereure in France in September of 2009.
Star-P support for Xeon 5100 servers offers users who previously didn't have the budgets or programming knowledge another affordable parallel computing option for solving their growing scientific and engineering problems.
By working cooperatively with groundbreaking products like the AMD Opteron processor, we continue to deliver parallel computing solutions that are powered by industry leaders like AMD.
Parallel programming libraries and compiler enhancements, such as MPI and OpenMP, and distributed debugging and monitoring tools support the development of parallel computing applications that are able to effectively leverage these cluster computer architectures.
To be effective in this arena, a team comprising a critical mass of talent, parallel computing techniques, visualization algorithms, advanced visualization hardware, and a recurring investment is required to stay beyond the desktop capabilities.