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
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.
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
這兩個函數
function app_path1:string
function socket_rec_line1(socket1:TCustomWinSocket timeout1:Integer crlf1:string=#13#10):string
實際上是我的一個公用單元中的函數，大家應該養成建立自己的公用單元的習慣。
socket_rec_line1函數中用了唐曉峰大俠的coolmail中的辦法：只是簡單的一個一個字節收取，找到結束
標志后就算收完一行了，大家實際應用時可能應該找更好的辦法。
Compression using lempel-ziv
-for a dictionary size of 2k
-provide dictionary
Lempel ziv algorithm is a dictionary based algorithm that addresses byte sequences from former contents instead of the original data. This algorithm consists of a rule for parsing strings of symbols from a finite alphabet into substrings, whose lengths do not exceed a prescribed Integer and a coding scheme which maps these substrings sequentially into uniquely decipherable code words of fixed length. The strings are selected so that they have nearly equal probability of occurrence. Frequently-occurring symbols are grouped into longer strings while occasional symbols appear in short strings.
