After gating the clocks of every one of the cores, what other techniques can you use to get even more power savings. Here’s a trivial and admittedly flippant example of what you could do: unplug the processor. You’d be using no power, though the disadvantages of pulling the power plug are pretty obvious. A better idea is to selectively shutdown the more global components of the processor in such a way that you can bring the processor back up to a fully functional state (i.e. C0) relatively quickly.
Package C-States are just that, the progressive shutdown of additional circuitry to get even more savings. Since we have already shutdown the entire package’s circuitry associated with the cores, the remaining circuitry is necessarily common to all the cores, thus the name “package” C-states.
Elaborazione basata su cluster
Intel® Trace Analyzer and Collector 8.1 Update 2 Readme
The Intel® Trace Analyzer and Collector 8.1 Update 2 for Linux* and Windows* is a low-overhead scalable event-tracing library with graphical analysis that reduces the time it takes an application developer to enable maximum performance of cluster applications. This package is for users who develop on and build for IA-32 and Intel® 64 architectures on Linux* and Windows*, as well as customers running on the Intel® Xeon Phi™ coprocessor on Linux*. You must have a valid license to download, install and use this product.
Intel® MPI Library 4.1 Update 1 Readme
The Intel® MPI Library for Linux* and Windows* is a high-performance interconnect-independent multi-fabric library implementation of the industry-standard Message Passing Interface, v2.2 (MPI-2.2) specification. This package is for MPI users who develop on and build for IA-32 and Intel® 64 architectures on Linux* and Windows*, as well as customers running on the Intel® Xeon Phi™ coprocessor on Linux*. You must have a valid license to download, install and use this product.
High Availability Linux Architecture for Mission Critical Workloads training from The Linux Foundation
The Linux Foundation is delivering a 4-day, hands-on training course that provides the knowledge and skills needed to successfully engineer, provision, maintain, and administer high-availability clusters to support mission-critical workloads. Heavily focused on mission critical workloads, High Availability Linux Architecture focuses on concepts and best practices used to meet security and high availability requirements using the latest hardware technologies such as Intel Xeon Processor E7 Family, driven by current open source tools found in the three main Linux distribution families.
Intel® Xeon Phi™ coprocessor Power Management Part 2a: Core C-States, The Details
BACKGROUND: A QUICK REFRESHER ON IDLE STATES
Choosing the right threading framework
This is the second article in a series of articles about High Performance Computing with the Intel Xeon Phi. The Intel Xeon Phi is the first commercial product of Intel to incorporate the Many Integrated Core architecture. In this article I will present various frameworks for unleashing the power of multiple threads on the Xeon Phi. We will also have a look at interesting properties and advantages / disadvantages of each framework.
Increase Cluster MPI Application Performance with a "MPI Tune" Up
The Intel® MPI Library offers many configuration options for improving application performance on your cluster. The number of options can be daunting to a new user. To assist with this, the Automatic Tuning utility is provided. This allows you to tune runtime parameters to match your system and your applications. In this webinar, I will introduce the tuner and provide use cases to begin using it for your cluster and applications.
HTML5标准与性能之三：ParallelArray
前面两篇文章分别介绍了WebWorkers和Typed Array，下面我们来介绍一下另一个针对性能的JS API：ParallelArray。
Enabling Connectionless DAPL UD in the Intel® MPI Library
What is DAPL UD?
Traditional InfiniBand* support involves MPI message transfer over the Reliable Connection (RC) protocol. While RC is long-standing and rich in functionality, it does have certain drawbacks: since it requires that each pair of processes setup a one-to-one connection at the start of the execution, memory consumption could (at the worst case) grow linearly as more MPI ranks are added and the number of pair connections grows.
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