SEARCH KEYWORD -- Parallelism


  Concurrency vs Parallelism

Concurrency and parallelism are two related concepts which deal with executing tasks "simultaneously". From Sun's Multithreaded Programming Guide: Concurrency: A condition that exists when at least two threads are making progress. A more generalized form of parallelism that can include time-slicing as a form of virtual parallelism. Parallelism: A condition that arises when at least two threads are executing simultaneously. These two definitions are too formal to be understood easily. On t...

   Concurrency,Parallelism,Thread     2013-08-07 23:42:33

  â€œExperience says it all”- Pentaho ETL Developers’ Comment on the Use of ETL Tools

Since months Pentaho ETL developers have been juggling with three distinct tools- Pentaho DI, SSIS, and PowerShell. Their experience has provided them new perspective on the cons and pros of every tool. In this post, they are sharing their experience with these tools and explain their significance. Before getting started, they first would like to explain ETL in brief and how the tools suits ETL landscape. ETL is Extract Transform Load. Informatica was the initial ETL tool introduced in the mid n...

   Pentaho BI ETL tools     2015-05-13 01:14:57

  9 Ways to Create Thread Pools with Java Executors

In Java, the Executors class provides a variety of static factory methods to create different types of thread pools. When learning about thread pools, the Executors class is indispensable. Mastering its usage, principles, and scenarios will enable you to apply it smoothly in actual project development. Here are some commonly used methods, which I will explain one by one: newCachedThreadPool(): Creates a cached thread pool. If a thread has not been used for 60 seconds, it will be terminated and ...

   TUTORIAL,JAVA THREAD     2024-07-19 23:07:09

  Hadoop or Spark: Which One is Better?

What is Hadoop? Hadoop is one of the widely used Apache-based frameworks for big data analysis. It allows distributed processing of large data set over the computer clusters. Its scalable feature leverages the power of one to thousands of system for computing and storage purpose. A complete Hadoop framework comprised of various modules such as: Hadoop Yet Another Resource Negotiator (YARN MapReduce (Distributed processing engine) Hadoop Distributed File System (HDFS) Hadoop Common Thes...

   COMPARISON,HADOOP,SPARK     2018-11-22 07:08:57

  Time-saving tips Linux users should know

As a programmer or system administrator, we have more chances of working on *nix platforms. It's tough experience when first start use *nix as we need to face a black screen without knowing what's behind it. Now, if we can have some resources to rely on, then we will find the beautify of *nix. They are fast, efficient and most importantly sexy. Below are some great tips for helping Linux users get used to Linux. This list is a bit long. So be patient. To get more information on a command mention...

   Linux,Tips     2013-09-03 22:30:48

  The Future of AI Chips Might Not Be GPU

In the layout of AI computing architectures, the model of CPUs working in collaboration with accelerator chips has become a typical AI deployment solution. CPUs act as providers of basic computing power, while accelerator chips are responsible for enhancing computational performance, aiding in the efficient execution of algorithms. Common AI accelerator chips can be categorized into three main types based on their technological paths: GPU, FPGA, and ASIC. In this competition, GPUs have emerged a...

   MICROSOFT,ARM,INTEL,NVIDIA,GPU,OPENAI,CUDA     2024-06-21 22:43:00

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