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SEARCH KEYWORD -- Parallel processing

  Code Optimization Techniques for Graphics Processing Units

Books on parallel programming theory often talk about such weird beasts like the PRAM model, a hypothetical hardware that would provide the programmer with a number of processors that is proportional to the input size of the problem at hand. Modern general purpose computers afford only a few processing units; four is currently a reasonable number. This limitation makes the development of highly parallel applications quite difficult to the average computer user. However, the low cost and th...

   Optimazation,GUI,Graphic processing     2011-12-18 01:11:53

  Easy Parallel Processing in PHP

The proliferation of multicore CPUs and the inability of our learned CPU vendors to squeeze many more GHz into their designs means that often the only way to get additional performance is by writing clever parallel software. One problem we were having is that some of our batch processing jobs were taking too long to run. In order to speed the processing, we tried to split the processing file into half, and let a separate PHP process run each job. Given that we were using a dual core serv...

   PHP,Parallel processing,Multithreading like,Sleep     2011-12-12 10:58:59

  Why to opt for Hadoop?

Hadoop is a open source that stores and processes big data. The framework is written in Java for distributed processing and distributed storage of very large data. Hadoop is Scalable. It is a scalable platform because it stores and distributed large amount of data sets to hundreds and thousands of servers that operate in parallel. Traditional database systems cannot process large amount of data. But, hadoop enable business to run applications involving thousands of Terabyte data. Hadoop is ...

       2015-09-22 10:17:43

  Hologres vs AWS Redshift

Hologres and Redshift are both data warehousing solutions, but they have some differences in terms of features, architecture, and target use cases. Underlying Infrastructure Hologres: Built on Alibaba Cloud's Apsara distributed computing platform, Hologres leverages the underlying infrastructure for storage, computation, and management. It benefits from Alibaba's expertise in cloud-native architecture and real-time data processing. Redshift: Amazon Redshift is based on a Massively Parallel Pro...

   HOLOGRES,REDSHIFT,ALIBABA,AWS,BIG DATA,REAL-TIME     2024-03-23 01:36:41

  What are some lesser known but useful Unix commands?

A few that come to mind, some less known, some more: xargs or parallel: run things in parallel, with lots of options sed and awk: more well-known but still super useful for processing text files, and faster than Python or Ruby m4: simple macro processor screen: powerful terminal multiplexing and session persistence yes: print a string a lot cal: nice calendar env: run a command (useful in scripts) look: find English words (or lines in a file) beginning with a string cut and paste and join: data...

   Linux,Unix,Command,Less used     2011-12-27 09:27:49

  Parallel Javascript

Lately the ideas for a parallel, shared memory JavaScript have begun to take shape. I’ve been discussing with various JavaScript luminaries and it seems like a design is starting to emerge. This post serves as a documentation of the basic ideas; I’m sure the details will change as we go along. User Model The model is that a JavaScript worker (the “parent”) may spawn a number of child tasks (the “children”). The parent is suspended while the children exe...

   Parallel JavaScript,API,Spawn,Parent,Task     2012-01-11 12:02:00

  Mastering Async/Await in JavaScript: A Comprehensive Guide with Examples

As a veteran JavaScript developer, I have seen the evolution of JavaScript's asynchronous programming landscape. From callbacks to promises and now async/await, JavaScript has come a long way in making it easier to handle asynchronous operations in a clean and readable manner. In this article, we will delve into the world of async/await and explore why it has become a popular choice for handling asynchronous operations in JavaScript. We will cover the basics of async/await, its syntax, and how i...

   JAVASCRIPT,COMPARISON,PROMISE,ASYNC AWAIT     2023-02-12 07:26:15

  Why Data Structures Matter

Our experience on Day 0 of JPR11 yielded a nice example of the need to choose an appropriate implementation of an abstract concept. As I mentioned in the previous post, we experimented with Michael Barker’s Scala implementation of Guy Steele’s parallelizable word-splitting algorithm (slides 51-67). Here’s the core of the issue. Given a type-compatible associative operator and sequence of values, we can fold the operator over the sequence to obtain a single accumulated v...

   Data structure,JPR,Importance     2012-01-08 10:13:56

  Java Then, Java Now - Looking at the evolution of Java from EE7 to EE9

Java, the programming language developed at Sun Microsystems in the 90s and later acquired by Oracle, is the most common programming environment used today, by developers across the globe. With the diversification of applicability that accompanied the technological boom, Java updates now come as Standard Editions (SE), Enterprise Edition (EE) and Micro Edition (ME). The Java SE contains the core programming logic and platform, used for relatively smaller-scale tasks and academic purposes. Java E...

   JAVA DEVELOPMENT COMPANY     2017-07-05 01:09:28

  Java vs F#

Dr Cliff Click of Azul Systems, specialists in manycore JVM systems, recently published a blog post about the performance of Java compared primarily to C and C++ but also discussing C# and .NET. Three of Cliff's comments are of particular interest:Under the heading "Places where C/C++ beats Java for obvious reasons":"Value Types, such as a 'Complex' type require a full object in Java." - Dr Cliff ClickWhat Cliff forgot to mention is that .NET also provides value types and a far more compell...

   Java,F#,Performance,JVM     2012-03-07 05:07:31

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