LEADER 00866nam0-22003131i-450- 001 990003218990403321 035 $a000321899 035 $aFED01000321899 035 $a(Aleph)000321899FED01 035 $a000321899 100 $a20000920d1974----km-y0itay50------ba 101 0 $aITA 102 $aIT 200 1 $aTeoria sociologica e socializzazione del potere$fFranco Crespi. 210 $aMilano$cFranco Angeli$d1974. 215 $a164 p.$d22 cm 225 1 $aCollana di sociologia$v18 610 0 $aSociologia$aStudi generali 676 $a11120 676 $a11130 702 1$aCrespi,$bFranco$f<1930- > 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003218990403321 952 $a11100 CRE$b7099/I$fSES 959 $aSES 996 $aTeoria sociologica e socializzazione del potere$9455171 997 $aUNINA DB $aING01 LEADER 05113nam 22007335 450 001 9910298981603321 005 20200704040722.0 010 $a3-319-06548-3 024 7 $a10.1007/978-3-319-06548-9 035 $a(CKB)3710000000168208 035 $a(EBL)1782946 035 $a(SSID)ssj0001295528 035 $a(PQKBManifestationID)11854271 035 $a(PQKBTitleCode)TC0001295528 035 $a(PQKBWorkID)11342674 035 $a(PQKB)10666864 035 $a(MiAaPQ)EBC1782946 035 $a(DE-He213)978-3-319-06548-9 035 $a(PPN)179922521 035 $a(EXLCZ)993710000000168208 100 $a20140703d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNumerical Computations with GPUs /$fedited by Volodymyr Kindratenko 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (404 p.) 300 $aDescription based upon print version of record. 311 $a1-322-13554-1 311 $a3-319-06547-5 320 $aIncludes bibliographical references at the end of each chapters. 327 $aAccelerating Numerical Dense Linear Algebra Calculations with GPUs -- A Guide to Implement Tridiagonal Solvers on GPUs -- Batch Matrix Exponentiation -- Efficient Batch LU and QR Decomposition on GPU -- A Flexible CUDA LU-Based Solver for Small, Batched Linear Systems -- Sparse Matrix-Vector Product -- Solving Ordinary Differential Equations on GPUs -- GPU-based integration of large numbers of independent ODE systems -- Finite and spectral element methods on unstructured grids for flow and wave propagation problems -- A GPU implementation for solving the Convection Diffusion equation using the Local Modified SOR method -- Pseudorandom numbers generation for Monte Carlo simulations on GPUs: Open CL approach -- Monte Carlo Automatic Integration with Dynamic Parallelism in CUDA -- GPU-Accelerated computation routines for quantum trajectories method -- Monte Carlo Simulation of Dynamic Systems on GPUs -- Fast Fourier Transform (FFT) on GPUs -- A Highly Efficient FFT Using Shared-Memory Multiplexing -- Increasing parallelism and reducing thread contentions in mapping localized N-body simulations to GPUs. 330 $aThis book brings together research on numerical methods adapted for Graphics Processing Units (GPUs). It explains recent efforts to adapt classic numerical methods, including solution of linear equations and FFT, for massively parallel GPU architectures. This volume consolidates recent research and adaptations, covering widely used methods that are at the core of many scientific and engineering computations. Each chapter is written by authors working on a specific group of methods; these leading experts provide mathematical background, parallel algorithms and implementation details leading to reusable, adaptable and scalable code fragments. This book also serves as a GPU implementation manual for many numerical algorithms, sharing tips on GPUs that can increase application efficiency. The valuable insights into parallelization strategies for GPUs are supplemented by ready-to-use code fragments. Numerical Computations with GPUs targets professionals and researchers working in high performance computing and GPU programming. Advanced-level students focused on computer science and mathematics will also find this book useful as secondary text book or reference. 606 $aNumerical analysis 606 $aComputer programming 606 $aComputer architecture 606 $aApplied mathematics 606 $aEngineering mathematics 606 $aProgramming languages (Electronic computers) 606 $aNumeric Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I1701X 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aComputer System Implementation$3https://scigraph.springernature.com/ontologies/product-market-codes/I13057 606 $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006 606 $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037 615 0$aNumerical analysis. 615 0$aComputer programming. 615 0$aComputer architecture. 615 0$aApplied mathematics. 615 0$aEngineering mathematics. 615 0$aProgramming languages (Electronic computers) 615 14$aNumeric Computing. 615 24$aProgramming Techniques. 615 24$aComputer System Implementation. 615 24$aMathematical and Computational Engineering. 615 24$aProgramming Languages, Compilers, Interpreters. 676 $a006.663 702 $aKindratenko$b Volodymyr$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910298981603321 996 $aNumerical Computations with GPUs$92281728 997 $aUNINA