Deng et al., 2008 - Google Patents
Improving random number generators in the Monte Carlo simulations via twisting and combiningDeng et al., 2008
View PDF- Document ID
- 1431479287076858585
- Author
- Deng L
- Guo R
- Lin D
- Bai F
- Publication year
- Publication venue
- Computer Physics Communications
External Links
Snippet
Problems for various random number generators accompanying the Wolff algorithm [U. Wolff, Phys. Rev. Lett. 62 (1989) 361; U. Wolff, Phys. Lett. B 228 (1989) 379] are discussed, including the hidden errors first reported in [AM Ferrenberg, DP Landau, YJ Wong, Phys …
- 238000000342 Monte Carlo simulation 0 title description 5
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
- G06F7/58—Random or pseudo-random number generators
- G06F7/582—Pseudo-random number generators
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
- G06F7/60—Methods or arrangements for performing computations using a digital non-denominational number representation, i.e. number representation without radix; Computing devices using combinations of denominational and non-denominational quantity representations, e.g. using difunction pulse trains, STEELE computers, phase computers
- G06F7/72—Methods or arrangements for performing computations using a digital non-denominational number representation, i.e. number representation without radix; Computing devices using combinations of denominational and non-denominational quantity representations, e.g. using difunction pulse trains, STEELE computers, phase computers using residue arithmetic
- G06F7/724—Finite field arithmetic
- G06F7/726—Inversion; Reciprocal calculation; Division of elements of a finite field
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
- G06F7/60—Methods or arrangements for performing computations using a digital non-denominational number representation, i.e. number representation without radix; Computing devices using combinations of denominational and non-denominational quantity representations, e.g. using difunction pulse trains, STEELE computers, phase computers
- G06F7/68—Methods or arrangements for performing computations using a digital non-denominational number representation, i.e. number representation without radix; Computing devices using combinations of denominational and non-denominational quantity representations, e.g. using difunction pulse trains, STEELE computers, phase computers using pulse rate multipliers or dividers pulse rate multipliers or dividers per se
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
- G06F7/38—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2207/00—Indexing scheme relating to methods or arrangements for processing data by operating upon the order or content of the data handled
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Bauke et al. | Random numbers for large-scale distributed Monte Carlo simulations | |
| Wichmann et al. | Generating good pseudo-random numbers | |
| CN108139889B (en) | Generation of pseudo-random number sequences by non-linear mixing of a plurality of auxiliary pseudo-random number generators | |
| Barash et al. | RNGSSELIB: Program library for random number generation, SSE2 realization | |
| L'Ecuyer et al. | Fast random number generators based on linear recurrences modulo 2: overview and comparison | |
| Cousins et al. | An update on SIPHER (scalable implementation of primitives for homomorphic encryption)—FPGA implementation using Simulink | |
| Deng | Efficient and portable multiple recursive generators of large order | |
| Matsumoto et al. | Common defects in initialization of pseudorandom number generators | |
| JP2010040021A (en) | Method of generating uniform and independent random numbers | |
| Deng et al. | Improving random number generators in the Monte Carlo simulations via twisting and combining | |
| L’Ecuyer et al. | F2-linear random number generators | |
| Mascagni | Some methods of parallel pseudorandom number generation | |
| Haramoto et al. | A fast jump ahead algorithm for linear recurrences in a polynomial space | |
| Tan et al. | ThundeRiNG: Generating multiple independent random number sequences on FPGAs | |
| Delgado-Mohatar et al. | Performance evaluation of highly efficient techniques for software implementation of LFSR | |
| Anashin et al. | ABC: A new fast flexible stream cipher | |
| Hill | Practical distribution of random streams for stochastic high performance computing | |
| L’Ecuyer et al. | Random numbers for parallel computers: requirements and methods | |
| Deng | Issues on computer search for large order multiple recursive generators | |
| Deng et al. | Scalable parallel multiple recursive generators of large order | |
| Mukherjee et al. | High-speed on-chip event counters for embedded systems | |
| Deng et al. | Design and implementation of efficient and portable multiple recursive generators with few zero coefficients | |
| Wu et al. | Optimized Design of ECC Point Multiplication Algorithm Over GF (2m) | |
| CN114008585B (en) | Generate pseudo-random number sequences in parallel using multiple generators with salted initial states | |
| Działa | Collatz-Weyl generators: high quality and high throughput parameterized pseudorandom number generators |