Learning Concurrent Programming in Scala是Aleksandar Prokopec创作的计算机网络类小说,QQ阅读提供Learning Concurrent Programming in Scala部分章节免费在线阅读,此外还提供Learning Concurrent Programming in Scala全本在线阅读.
This book is a must-have tutorial for software developers aiming to write concurrent programs in Scala, or broaden their existing knowledge of concurrency.This book is intended for Scala programmers that have no prior knowledge about concurrent programmi
Learning Concurrent Programming in Scala 用Scala开发并发编程。对scala和并发编程有兴趣想学习的同仁们下 Scala 并发编程2018-05-17 上传大小:4.00MB 所需:9积分/C币 Python中的动态图形:使用Tkinter绘制跳动的心形 内容概要:本文详细介绍了用Python的Tkinter库创建动态心脏图形的过程。程序主要由几个部分组成:首先...
Aleksandar Prokopec创作的计算机网络小说《Learning Concurrent Programming in Scala》,已更新章,最新章节:undefined。Thisbookisamust-havetutorialforsoftwaredevelopersaimingtowriteconcurrentprogramsinScala,orbroadentheirexistingknowledgeo…
to the foundations of concurrent programming on the JVM, outlining the basics of the Java Memory Model, and then shows some of the classic building blocks of concurrency, such as the atomic variables, thread pools, and concurrent data structures, along with the caveats of traditional concurrency....
预订Learning Concurrent Programming in Scala 学习Scala并发编程: 9781786466891 国外库房发货,通常付款后3-5周到货 作者:Aleksandar Prokopec出版社:Packt Publishing出版时间:2017年02月 手机专享价 ¥ 当当价 降价通知 ¥727.00 配送至 北京 至 北京市东城区 服务 由“中国进口图书旗舰店”发货,并提供售后...
A Scalable Concurrent malloc Implementation for FreeBSD (jemalloc).pdf A Scalable Concurrent malloc Implementation for FreeBSD (jemalloc).pdf Checkpoint commit. Jun 5, 2015 A Scalable Lock-free Stack Algorithm (2004).pdf A Scalable Lock-free Stack Algorithm (2004).pdf Checkpoint commit. Jun 1, ...
S-LoRA - Serving Thousands of Concurrent LoRA Adapters. Tempo - Open source SDK that provides a unified interface to multiple MLOps projects that enable data scientists to deploy and productionise machine learning systems. Tensorflow Serving - High-performant framework to serve Tensorflow models via ...
DeepDetect - A machine learning API and server written in C++11. It makes state of the art machine learning easy to work with and integrate into existing applications. Distributed Machine learning Tool Kit (DMTK) - A distributed machine learning (parameter server) framework by Microsoft. Enables ...
Analytical tasks are chained together as a single, in-memory job without having to reload the data or write out intermediate results to disks. Concurrent access to the same data in memory by many users improves efficiency. Data and intermediate results are held in memory as long as required, ...