[go: up one dir, main page]

Riesinger et al., 2018 - Google Patents

Non-standard pseudo random number generators revisited for GPUs

Riesinger et al., 2018

Document ID
1454814394956253504
Author
Riesinger C
Neckel T
Rupp F
Publication year
Publication venue
Future Generation Computer Systems

External Links

Snippet

Pseudo random number generators are intensively used in many computational applications, eg the treatment of uncertainty quantification problems. For this reason, the right selection of such generators and their optimization for various hardware architectures is …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/30Arrangements for executing machine-instructions, e.g. instruction decode
    • G06F9/30003Arrangements for executing specific machine instructions
    • G06F9/30007Arrangements for executing specific machine instructions to perform operations on data operands
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/30Arrangements for executing machine-instructions, e.g. instruction decode
    • G06F9/38Concurrent instruction execution, e.g. pipeline, look ahead
    • G06F9/3885Concurrent instruction execution, e.g. pipeline, look ahead using a plurality of independent parallel functional units
    • G06F9/3887Concurrent instruction execution, e.g. pipeline, look ahead using a plurality of independent parallel functional units controlled by a single instruction, e.g. SIMD
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/30Arrangements for executing machine-instructions, e.g. instruction decode
    • G06F9/32Address formation of the next instruction, e.g. incrementing the instruction counter, jump
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/30Arrangements for executing machine-instructions, e.g. instruction decode
    • G06F9/34Addressing or accessing the instruction operand or the result; Formation of operand address; Addressing modes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/16Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F8/00Arrangements for software engineering
    • G06F8/40Transformations of program code
    • G06F8/41Compilation
    • G06F8/44Encoding
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F7/00Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/58Random or pseudo-random number generators
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F7/00Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/60Methods 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
    • G06F7/72Methods 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
    • G06F7/724Finite field arithmetic
    • G06F7/726Inversion; Reciprocal calculation; Division of elements of a finite field
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F12/00Accessing, addressing or allocating within memory systems or architectures
    • G06F12/02Addressing or allocation; Relocation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2207/00Indexing scheme relating to methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F2207/72Indexing scheme relating to groups G06F7/72 - G06F7/729
    • G06F2207/7219Countermeasures against side channel or fault attacks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/003D [Three Dimensional] image rendering
    • G06T15/06Ray-tracing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation

Similar Documents

Publication Publication Date Title
Dakkak et al. Accelerating reduction and scan using tensor core units
Saito et al. Variants of Mersenne twister suitable for graphic processors
Páll et al. A flexible algorithm for calculating pair interactions on SIMD architectures
US8756264B2 (en) Parallel pseudorandom number generation
Maruyama et al. Optimizing stencil computations for NVIDIA Kepler GPUs
Satish et al. Can traditional programming bridge the ninja performance gap for parallel computing applications?
Li et al. Strassen's matrix multiplication on GPUs
US20170344514A1 (en) System and method for speeding up general matrix-matrix multiplication on the gpu
Peng et al. GLU3. 0: Fast GPU-based parallel sparse LU factorization for circuit simulation
US10067910B2 (en) System and method for GPU maximum register count optimization applied to general matrix-matrix multiplication
Mertmann et al. Fine-sorting one-dimensional particle-in-cell algorithm with Monte-Carlo collisions on a graphics processing unit
Riesinger et al. Non-standard pseudo random number generators revisited for GPUs
Sørensen et al. Multicore performance of block algebraic iterative reconstruction methods
Kannan Efficient sparse matrix multiple-vector multiplication using a bitmapped format
Haidar et al. Towards batched linear solvers on accelerated hardware platforms
László et al. Analysis of a gpu based cnn implementation
Strnad et al. Parallel construction of classification trees on a GPU
US9804826B2 (en) Parallelization of random number generators
Nagasaka et al. Cache-aware sparse matrix formats for Kepler GPU
Dobravec et al. Comparing CPU and GPU implementations of a simple matrix multiplication algorithm
Wang et al. A fast tridiagonal solver for Intel MIC architecture
Pershin et al. Performance limits study of stencil codes on modern GPGPUs
Chen et al. OpenCL-based erasure coding on heterogeneous architectures
Chen et al. High performance median filtering using commodity graphics hardware
Kaya Parallel algorithms for computing sparse matrix permanents