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pro vyhledávání: '"Shane Story"'
Autor:
Mehmet Deveci, Sivasankaran Rajamanickam, Murat Efe Guney, Shane Story, Kyungjoo Kim, Simon D. Hammond, Timothy B. Costa, Andrew M. Bradley, Sarah Knepper
Publikováno v:
SC
Many applications, such as PDE based simulations and machine learning, apply blas/lapack routines to large groups of small matrices. While existing batched blas APIs provide meaningful speedup for this problem type, a non-canonical data layout enabli
Autor:
Murat Efe Guney, Kazushige Goto, Shane Story, Louise Huot, Arthur Mitrano, Sarah Knepper, Timothy B. Costa
Publikováno v:
ARITH
Matrix multiplication is ubiquitous in scientific computing. From computational science to machine learning, a large and diverse set of applications rely on the performance of general matrix-matrix multiplication (GEMM) subroutines. The Intel® Math
Autor:
Stanimire Tomov, Murat Efe Guney, Azzam Haidar, Shane Story, Jack Dongarra, Konstantin Arturov
Publikováno v:
HPEC
A wide variety of heterogeneous compute resources, ranging from multicore CPUs to GPUs and coprocessors, are available to modern computers, making it challenging to design unified numerical libraries that efficiently and productively use all these va
Autor:
Shane Story, Ping Tak Peter Tang
Publikováno v:
IEEE Symposium on Computer Arithmetic
The IA-64 architecture provides new opportunities and challenges for implementing an improved set of transcendental functions. Using several novel polynomial-based table-driven techniques, we are able to provide new algorithms for the transcendental
Conference
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