- Us congress hearing of maan alsaan Money laundry قضية الكونغجرس لغسيل الأموال للمليادير معن الصانع - 1 Update
- My Parallel C++ Conjugate Gradient Linear System Solver Library that scales very well was updated to version 1.76 - 1 Update
- About Message Passing Process Communication Model and Shared Memory Process Communication Model - 1 Update
| samio al <tato.yafi@gmail.com>: Jun 22 03:21PM -0700 YouTube videos of U.S. Congress money laundering hearing of Saudi Billionaire " Maan Al sanea" with bank of America and The owner of Saad Hospital and Schools in the Eastern Province in Saudi Arabia and the Chairman of the Board of Directors of Awal Bank in Bahrain With Arabic Subtitles موقع اليوتيوب الذي عرض جلسة استماع الكونجرس الأمريكي لمتابعة نشاطات غسل الأموال ونشاطات السعودي معن عبدالواحد الصانع مالك مستشفى وشركة سعد ومدارس سعد بالمنطقة الشرقية بالسعودية ورئيس مجلس ادارة بنك اوال البحريني مترجم باللغة العربية http://www.youtube.com/watch?v=mIBNnQvhU8s |
| Horizon68 <horizon@horizon.com>: Jun 22 10:12AM -0700 Hello.. My Parallel C++ Conjugate Gradient Linear System Solver Library that scales very well was updated to version 1.76 You can download it from: https://sites.google.com/site/scalable68/scalable-parallel-c-conjugate-gradient-linear-system-solver-library Author: Amine Moulay Ramdane Description: This library contains a Parallel implementation of Conjugate Gradient Dense Linear System Solver library that is NUMA-aware and cache-aware that scales very well, and it contains also a Parallel implementation of Conjugate Gradient Sparse Linear System Solver library that is cache-aware that scales very well. Sparse linear system solvers are ubiquitous in high performance computing (HPC) and often are the most computational intensive parts in scientific computing codes. A few of the many applications relying on sparse linear solvers include fusion energy simulation, space weather simulation, climate modeling, and environmental modeling, and finite element method, and large-scale reservoir simulations to enhance oil recovery by the oil and gas industry. Conjugate Gradient is known to converge to the exact solution in n steps for a matrix of size n, and was historically first seen as a direct method because of this. However, after a while people figured out that it works really well if you just stop the iteration much earlier - often you will get a very good approximation after much fewer than n steps. In fact, we can analyze how fast Conjugate gradient converges. The end result is that Conjugate gradient is used as an iterative method for large linear systems today. Please download the zip file and read the readme file inside the zip to know how to use it. Language: GNU C++ and Visual C++ and C++Builder Operating Systems: Windows, Linux, Unix and Mac OS X on (x86) Thank you, Amine Moulay Ramdane. |
| Horizon68 <horizon@horizon.com>: Jun 22 09:33AM -0700 Hello.. About Message Passing Process Communication Model and Shared Memory Process Communication Model: An advantage of shared memory model is that memory communication is faster as compared to the message passing model on the same machine. However, shared memory model may create problems such as synchronization and memory protection that need to be addressed. Message passing's major flaw is the inversion of control–it is a moral equivalent of gotos in un-structured programming (it's about time somebody said that message passing is considered harmful). Also some research shows that the total effort to write an MPI application is significantly higher than that required to write a shared-memory version of it. Thank you, Amine Moulay Ramdane. |
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