Summary. Mersenne Twister (MT) is a widely-used fast pseudorandom number generator (PRNG) with a long period of 2 19937 − 1, designed 10 years ago based on 32-bit operations. In this decade, CPUs for personal computers have acquired new features, such as Single Instruction Multiple Data (SIMD) operations (i.e., 128bit operations) and multi-stage pipelines. Here we propose a 128-bit based PRNG, named SIMD-oriented Fast Mersenne Twister (SFMT), which is analogous to MT but making full use of these features. Its recursion fits pipeline processing better than MT, and it is roughly twice as fast as optimised MT using SIMD operations. Moreover, the dimension of equidistribution of SFMT is better than MT. We also introduce a block-generation funct...
The Mathematica function SeedRandom comes with a variety of different methods: • "Sobol"—Sobol low-d...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
Mersenne Twister (MT) uniform random number generators are key cores for hardware acceleration of Mo...
(1)SIMD-oriented Mersenne Twister (SFMT)is a new pseudorandom number generator(PRNG) which uses 128-...
(1)SIMD-oriented Mersenne Twister (SFMT)is a new pseudorandom number generator(PRNG) which uses 128-...
This paper proposes a type of pseudorandom number generator,Mersenne Twister for Graphic Processor (...
An algorithm and coding technique is presented for quick evaluation of the Lehmer pseudo-random numb...
To help promote more widespread adoption of hardware acceleration in parallel scientific computing, ...
Efficient generation of random and pseudorandom sequences is of great importance to a number of appl...
This paper deals with the design of a network-on-chip reconfigurable pseudorandom number generation ...
In this article Re present background, rationale, and a description of the Scalable Parallel Random ...
Pseudorandom number generators are widely used in the area of simulation. Defective generators are s...
In this work it is shown how 128 bit SSE2 multimedia extension registers, present in Pentium IV clas...
Random number generators are essential in many computing applications, such as Artificial Intelligen...
Fast and reliable pseudo-random number generators are required for simulation and other applications...
The Mathematica function SeedRandom comes with a variety of different methods: • "Sobol"—Sobol low-d...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
Mersenne Twister (MT) uniform random number generators are key cores for hardware acceleration of Mo...
(1)SIMD-oriented Mersenne Twister (SFMT)is a new pseudorandom number generator(PRNG) which uses 128-...
(1)SIMD-oriented Mersenne Twister (SFMT)is a new pseudorandom number generator(PRNG) which uses 128-...
This paper proposes a type of pseudorandom number generator,Mersenne Twister for Graphic Processor (...
An algorithm and coding technique is presented for quick evaluation of the Lehmer pseudo-random numb...
To help promote more widespread adoption of hardware acceleration in parallel scientific computing, ...
Efficient generation of random and pseudorandom sequences is of great importance to a number of appl...
This paper deals with the design of a network-on-chip reconfigurable pseudorandom number generation ...
In this article Re present background, rationale, and a description of the Scalable Parallel Random ...
Pseudorandom number generators are widely used in the area of simulation. Defective generators are s...
In this work it is shown how 128 bit SSE2 multimedia extension registers, present in Pentium IV clas...
Random number generators are essential in many computing applications, such as Artificial Intelligen...
Fast and reliable pseudo-random number generators are required for simulation and other applications...
The Mathematica function SeedRandom comes with a variety of different methods: • "Sobol"—Sobol low-d...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
Mersenne Twister (MT) uniform random number generators are key cores for hardware acceleration of Mo...