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Jumping-<b>Floating-point</b>

  • 這個連接池是直接從JIVE中取出來的

    這個連接池是直接從JIVE中取出來的,進行了一下修改,使得連接參數直接在程序中設定而不是從屬性文件中讀取。 [b]用法:[/b] 先設定自己的連接參數,在DbConnectionDefaultPool.java文件的loadProperties方法中。注意你也需要設定連接池的log文件的存放位置。

    標簽: JIVE 連接

    上傳時間: 2016-11-21

    上傳用戶:TF2015

  • The DHRY program performs the dhrystone benchmarks on the 8051. Dhrystone is a general-performanc

    The DHRY program performs the dhrystone benchmarks on the 8051. Dhrystone is a general-performance benchmark test originally developed by Reinhold Weicker in 1984. This benchmark is used to measure and compare the performance of different computers or, in this case, the efficiency of the code generated for the same computer by different compilers. The test reports general performance in dhrystones per second. Like most benchmark programs, dhrystone consists of standard code and concentrates on string handling. It uses no floating-point operations. It is heavily influenced by hardware and software design, compiler and linker options, code optimizing, cache memory, wait states, and integer data types. The DHRY program is available in different targets: Simulator: Large Model: DHRY example in LARGE model for Simulation Philips 80C51MX: DHRY example in LARGE model for the Philips 80C51MC

    標簽: general-performanc benchmarks Dhrystone dhrystone

    上傳時間: 2016-11-30

    上傳用戶:hphh

  • 密碼學界牛人Victor Shoup用C++編寫數論類庫。 NTL is a high-performance, portable C++ library providing data struct

    密碼學界牛人Victor Shoup用C++編寫數論類庫。 NTL is a high-performance, portable C++ library providing data structures and algorithms for arbitrary length integers for vectors, matrices, and polynomials over the integers and over finite fields and for arbitrary precision floating point arithmetic. NTL provides high quality implementations of state-of-the-art algorithms for: * arbitrary length integer arithmetic and arbitrary precision floating point arithmetic * polynomial arithmetic over the integers and finite fields including basic arithmetic, polynomial factorization, irreducibility testing, computation of minimal polynomials, traces, norms, and more * lattice basis reduction, including very robust and fast implementations of Schnorr-Euchner, block Korkin-Zolotarev reduction, and the new Schnorr-Horner pruning heuristic for block Korkin-Zolotarev * basic linear algebra over the integers, finite fields, and arbitrary precision floating point numbers.

    標簽: high-performance providing portable library

    上傳時間: 2014-01-04

    上傳用戶:exxxds

  • 漢諾塔!!! Simulate the movement of the Towers of Hanoi puzzle Bonus is possible for using animation

    漢諾塔!!! Simulate the movement of the Towers of Hanoi puzzle Bonus is possible for using animation eg. if n = 2 A→B A→C B→C if n = 3 A→C A→B C→B A→C B→A B→C A→C

    標簽: the animation Simulate movement

    上傳時間: 2017-02-11

    上傳用戶:waizhang

  • 200-MHz ARM920T Processor • 16-kbyte Instruction Cache • 16-kbyte Data Cache •

    200-MHz ARM920T Processor • 16-kbyte Instruction Cache • 16-kbyte Data Cache • Linux® , Microsoft® Windows® CE-enabled MMU • 100-MHz System Bus • MaverickCrunch™ Math Engine • Floating Point, Integer, and Signal Processing Instructions • Optimized for digital music compression and decompression algorithms. • Hardware interlocks allow in-line coding. • MaverickKey™ IDs • 32-bit Unique ID can be used for DRM-compliant 128-bit random ID. • Integrated Peripheral Interfaces • 32-bit SDRAM Interface

    標簽: 8226 Cache kbyte Instruction

    上傳時間: 2017-04-08

    上傳用戶:comua

  • This library defines basic operation on polynomials, and contains also 3 different roots (zeroes)-fi

    This library defines basic operation on polynomials, and contains also 3 different roots (zeroes)-finding methods that can handle quite large polynomials (>1000 coefs) Implemented in ANSI C++ Templates. Handles all real and complex floating point types. Html doc is included.

    標簽: polynomials different operation contains

    上傳時間: 2013-12-18

    上傳用戶:yan2267246

  • ieee754的標準

    ieee754的標準,原英文版的!Twenty years ago anarchy threatened floating-point arithmetic. Over a dozen commercially significant arithmetics boasted diverse wordsizes, precisions, rounding procedures and over/underflow behaviors, and more were in the works. “Portable” software intended to reconcile that numerical diversity had become unbearably costly to develop. Thirteen years ago, when IEEE 754 became official, major microprocessor manufacturers had already adopted it despite the challenge it posed to implementors. With unprecedented altruism, hardware designers had risen to its challenge in the belief that they would ease and encourage a vast burgeoning of numerical software. They did succeed to a considerable extent. Anyway, rounding anomalies that preoccupied all of us in the 1970s afflict only CRAY X-MPs — J90s now.

    標簽: ieee 754 標準

    上傳時間: 2017-07-28

    上傳用戶:894898248

  • PIC16C63單片機UART通信——A機讀取時鐘芯片DS1302獲得當前時間

    PIC16C63單片機UART通信——A機讀取時鐘芯片DS1302獲得當前時間,通過UART通信傳給B機,B機使用LCD1602顯示當前時間

    標簽: 1302 UART PIC 16C

    上傳時間: 2013-11-30

    上傳用戶:shanml

  • Topics Practices: Programming and Numerical Methods Practice 1: Introduction to C Practice 2

    Topics Practices: Programming and Numerical Methods Practice 1: Introduction to C Practice 2: Cycles and functions First part cycles Part Two: Roles Practice 3 - Floating point arithmetic Practice 4 - Search for roots of functions Practice 5 - Numerical Integration Practice 6 - Arrangements and matrices Part One: Arrangements Part II: Matrices Practice 7 - Systems of linear equations Practice 8 - Interpolation Practice 9 - Algorithm Design Techniques

    標簽: Practice Introduction Programming Practices

    上傳時間: 2013-12-16

    上傳用戶:R50974

  • Implementation of GPU (Graphics Processing Unit) that rendered triangle based models. Our goal was t

    Implementation of GPU (Graphics Processing Unit) that rendered triangle based models. Our goal was to generate complex models with a movable camera. We wanted to be able to render complex images that consisted of hundreds to thousands of triangles. We wanted to apply interpolated shading on the objects, so that they appeared more smooth and realisitc, and to have a camera that orbitted around the object, which allowed us to look arond the object with a stationary light source. We chose to do this in hardware, because our initial implementation using running software on the NIOS II processor was too slow. Implementing parallelism in hardware is also easier to do than in software, which allows for more efficiency. We used Professor Land s floating point hardware, which allowed us to do calculations efficiency, which is essential to graphics.

    標簽: Implementation Processing Graphics rendered

    上傳時間: 2014-11-22

    上傳用戶:shawvi

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