Technical report on c++ performance.contents:1.introduction 2.language features 3.creating efficient librarites 4. using c++ in embedded systems 5.hardware addressing interface
標(biāo)簽： introduction performance Technical efficient
上傳時(shí)間： 2014-01-14
上傳用戶：zsjzc
The CMUPA is designed to be a low bandwidth, highly flexible architecture .This is it s protocol.
標(biāo)簽： architecture bandwidth designed flexible
上傳時(shí)間： 2014-01-16
上傳用戶：1966640071
Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification. This document explains the use of libsvm.
標(biāo)簽： classification easy-to-use regression and
上傳時(shí)間： 2013-12-22
上傳用戶：二驅(qū)蚊器
一個(gè)投影聚類算法及其數(shù)據(jù)集生成源碼。 參考文獻(xiàn)： Eric K.K. Ng, A. Fu : Efficient algorithm for Projected Clustering,
標(biāo)簽： A. K.K. Clustering Efficient
上傳時(shí)間： 2013-12-11
上傳用戶：亞亞娟娟123
Far too many programmers and software designers consider efficient C++ to be an oxymoron. They regard C++ as inherently slow and inappropriate for performancecritical applications. Consequently, C++ has had little success penetrating domains such as networking, operating system kernels, device drivers, and others.
標(biāo)簽： programmers designers efficient consider
上傳時(shí)間： 2013-11-30
上傳用戶：zsjzc
Writing Efficient C for ARM from: Advanced RISC Machines Ltd (ARM)
標(biāo)簽： Efficient ARM Advanced Machines
上傳時(shí)間： 2014-01-13
上傳用戶：杜瑩12345
Writing Efficient C for ARM 基于ARM內(nèi)核微處理器操作系統(tǒng)的移植 基于ARM的嵌入式開(kāi)發(fā)(PDF ARM中國(guó)) ARM+DSP+CPLD開(kāi)發(fā)板 s3c2410(arm9)protel99格式的原理圖和PCB圖
標(biāo)簽： ARM Efficient Writing CPLD
上傳時(shí)間： 2013-12-27
上傳用戶：hewenzhi
Writing Efficient C for ARM 基于ARM內(nèi)核微處理器操作系統(tǒng)的移植 基于ARM的嵌入式開(kāi)發(fā)(PDF ARM中國(guó)) ARM+DSP+CPLD開(kāi)發(fā)板 s3c2410(arm9)protel99格式的原理圖和PCB圖
標(biāo)簽： ARM Efficient Writing CPLD
上傳時(shí)間： 2014-01-05
上傳用戶：han_zh
DIGITAL IMAGERY is pervasive in our world today. Consequently, standards for the efficient representation and interchange of digital images are essential. To date, some of the most successful still image compression standards have resulted from the ongoing work of the Joint Photographic Experts Group (JPEG). This group operates under the auspices of Joint Technical Committee 1, Subcommittee 29, Working Group 1 (JTC 1/SC 29/WG 1), a collaborative effort between the International Organization for Standardization (ISO) and International Telecommunication Union Standardization Sector (ITUT). Both the JPEG [1–3] and JPEG-LS [4–6] standards were born from the work of the JPEG committee. For the last few years, the JPEG committee has been working towards the establishment of a new standard known as JPEG 2000 (i.e., ISO/IEC 15444). The fruits of these labors are now coming to bear, as JPEG-2000 Part 1 (i.e., ISO/IEC 15444-1 [7]) has recently been approved as a new international standard.
標(biāo)簽： Consequently efficient pervasive standards
上傳時(shí)間： 2013-12-21
上傳用戶：源弋弋
Bing is a point-to-point bandwidth measurement tool (hence the b ), based on ping. Bing determines the real (raw, as opposed to available or average) throughput on a link by measuring ICMP echo requests roundtrip times for different packet sizes for each end of the link
標(biāo)簽： Bing point-to-point measurement determines
上傳時(shí)間： 2015-09-15
上傳用戶：lgnf
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