Non programmer’s tutorial for python 3 pdf-Programmer’s Tutorial for Python 2. Please continue to improve it and thanks for the great work so far! File:Non-Programmer’s Tutorial for Python 2. Category:Book:Non-Programmer’s Tutorial for Python 2.
Book:Non-Programmer’s Tutorial for Python 2. This page was last edited on 28 March 2016, at 10:20. This book describes Python, an open-source general-purpose interpreted programming language available for a broad range of operating systems. There are two common versions currently in use: 2. This book describes primarily version 2, but does at times reference changes in version 3. This page was last edited on 14 July 2017, at 12:08. Unsourced material may be challenged and removed.
Floating-point representation is similar to scientific notation, except everything is carried out in base two, rather than base ten. Floating-point representations can support a much wider range of values than fixed-point, with the ability to represent very small numbers and very large numbers. As such, floating-point processors are ideally suited for computationally intensive applications. Floating-point operations are typically used in fields such as scientific computational research. The unit MIPS measures integer performance of a computer.
MIPS as a performance benchmark is adequate when a computer is used in database queries, word processing, spreadsheets, or to run multiple virtual operating systems. This was much better than using the prevalent MIPS to compare computers as this statistic usually had little bearing on the arithmetic capability of the machine. Sandia director Bill Camp said that ASCI Red had the best reliability of any supercomputer ever built, and “was supercomputing’s high-water mark in longevity, price, and performance”. A computer response time below 0. 10 FLOPS to be considered functional. The 80-core chip can raise this result to 2 teraFLOPS at 6. 26 GHz, although the thermal dissipation at this frequency exceeds 190 watts.
P and designed to continuously operate at speeds exceeding one petaFLOPS. When configured to do so, it can reach speeds in excess of three petaFLOPS. CPU capable of a peak vector performance of 102. 4 gigaFLOPS per single core. The computer is located at Los Alamos National Laboratory in New Mexico.
In June 2008, AMD released ATI Radeon HD 4800 series, which are reported to be the first GPUs to achieve one teraFLOPS. 64 petaFLOPS, making Jaguar the world’s first petaFLOPS system dedicated to open research. Kraken was declared the world’s fastest university-managed supercomputer and sixth fastest overall in the 2009 TOP500 list. In 2010 Kraken was upgraded and can operate faster and is more powerful. 75 petaFLOPS, beating the IBM Roadrunner for the number one spot on the TOP500 list. In single precision performance, Nvidia Tesla C2050 computing processors perform around 1.
Both Nvidia and AMD’s consumer gaming GPUs may reach higher FLOPS. In November 2011, it was announced that Japan had achieved 10. It is still under development and software performance tuning is currently underway. 864 racks, with theoretical performance of 11.
16 petaFLOPS, setting the world record and claiming first place in the latest TOP500 list. It was developed by Cray Inc. The system, which is almost exclusively based on technology developed in China, is installed at the National Supercomputing Center in Wuxi, and represents more performance than the next five most powerful systems on the TOP500 list combined. 100 petaFLOPS of total computing power. It was the first computing project of any kind to cross the 1, 2, 3, 4, and 5 native petaFLOPS milestones. December 2009 a plan to build a 1 EFLOPS supercomputer before 2020. Such systems might be built around 2030.
It won the Gordon Bell Prize in 2000. As of August 2007, this 26. 30,000 cluster was built using only commercially available “gamer” grade hardware. 16 TFLOPS of single-precision, 4 TFLOPS of double-precision computing performance. Built using only commercially available hardware.