Performance Tuning of Scientific Applications (Chapman & - download pdf or read online

By David H. Bailey, Robert F. Lucas, Samuel Williams

ISBN-10: 1439815690

ISBN-13: 9781439815694

With contributions from probably the most impressive specialists within the box, functionality Tuning of clinical purposes offers present learn in functionality research. The booklet specializes in the subsequent parts. functionality tracking: Describes the state-of-the-art in and software program instruments which are everyday for tracking and measuring functionality and dealing with huge amounts of information functionality research: Discusses glossy methods to machine functionality benchmarking and provides effects that supply worthy perception into those stories functionality modeling: Explains how researchers deduce exact functionality types from uncooked functionality info or from different high-level features of a systematic computation automated functionality tuning: Explores ongoing examine into automated and semi-automatic options for optimizing computing device courses to accomplish greater functionality on any laptop platform software tuning: presents examples that express how the proper research of functionality and a few deft alterations have led to super excessive functionality functionality research has grown right into a full-fledged, refined box of empirical technological know-how. Describing helpful study in sleek functionality technological know-how and engineering, this ebook is helping real-world clients of parallel desktops to raised comprehend either the functionality vagaries bobbing up in clinical purposes and the sensible ability for bettering functionality. examine the ebook on HPCwire and insideHPC

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Additional info for Performance Tuning of Scientific Applications (Chapman & Hall CRC Computational Science)

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Complete listings of the native events available on a given platform can be obtained by running a utility analogous to papi avail, called papi native avail. The PAPI low-level interface has support for advanced features such as multiplexing and sampling. 7 Counter Usage Modes Hardware performance monitors are used in one of two modes: 1. Counting mode (to collect aggregate counts of event occurrences. 2. Statistical sampling mode (to collect profiling data based on counter overflows). Both modes have their uses in performance modeling, analysis, tuning, and in feedback-directed compiler optimization.

3 Performance Tuning of Scientific Applications Oprofile Oprofile [213] is a low-overhead profiler for Linux which is capable of using hardware performance counters to profile processes, shared libraries, and the kernel (including device drivers). 4 kernels. Oprofile does not modify the kernel, but rather uses a daemon to monitor hardware counter performance across the entire system. It works by allowing the user to specify a hardware event to be monitored and an event threshold to be counted. It relies on interrupt-on-overflow to statistically profile where events are occurring in the system image.

Networks are composed of interface chips (NICs) connected by links. Processors (and memory in the case of shared-memory architectures) connect to the interface chips. Links can be cables (optical or copper), wires on a printed circuit board, or metal routes on a chip. Network transactions, or messages, are sent to the NIC which then arbitrate and send them to their destinations. In the case of shared-memory architectures, upon receipt of a load message, memory will respond (via its interface to the network) with the desired data.

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Performance Tuning of Scientific Applications (Chapman & Hall CRC Computational Science) by David H. Bailey, Robert F. Lucas, Samuel Williams


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