Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Mantas Mikaitis"'
Publikováno v:
Royal Society Open Science, Vol 9, Iss 3 (2022)
Stochastic rounding (SR) randomly maps a real number x to one of the two nearest values in a finite precision number system. The probability of choosing either of these two numbers is 1 minus their relative distance to x. This rounding mode was first
Externí odkaz:
https://doaj.org/article/69cd291e7429497cae351f98feedc4bf
Publikováno v:
PeerJ Computer Science, Vol 7, p e330 (2021)
We explore the floating-point arithmetic implemented in the NVIDIA tensor cores, which are hardware accelerators for mixed-precision matrix multiplication available on the Volta, Turing, and Ampere microarchitectures. Using Volta V100, Turing T4, and
Externí odkaz:
https://doaj.org/article/7681f6986bd643e293537fdfa4746cdf
Autor:
Oliver Rhodes, Petruţ A. Bogdan, Christian Brenninkmeijer, Simon Davidson, Donal Fellows, Andrew Gait, David R. Lester, Mantas Mikaitis, Luis A. Plana, Andrew G. D. Rowley, Alan B. Stokes, Steve B. Furber
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
This work presents sPyNNaker 4.0.0, the latest version of the software package for simulating PyNN-defined spiking neural networks (SNNs) on the SpiNNaker neuromorphic platform. Operations underpinning realtime SNN execution are presented, including
Externí odkaz:
https://doaj.org/article/52645e5939b141848c8c924075705b33
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
SpiNNaker is a digital neuromorphic architecture, designed specifically for the low power simulation of large-scale spiking neural networks at speeds close to biological real-time. Unlike other neuromorphic systems, SpiNNaker allows users to develop
Externí odkaz:
https://doaj.org/article/4a95545ef1a14e96b16d39a86e6bd1bd
Publikováno v:
SIAM Journal on Scientific Computing. 45:C1-C19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a04df229cd4f265910000a49ab1e36fb
https://doi.org/10.1137/21m1465032
https://doi.org/10.1137/21m1465032
Autor:
Massimiliano Fasi, Mantas Mikaitis
Publikováno v:
ACM Transactions on Mathematical Software.
One can simulate low-precision floating-point arithmetic via software by executing each arithmetic operation in hardware and then rounding the result to the desired number of significant bits. For IEEE-compliant formats, rounding requires only standa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::493c747d4b806b174bddecf8a2b97981
https://doi.org/10.1145/3585515
https://doi.org/10.1145/3585515
Autor:
Nicholas Higham, Mantas Mikaitis
Publikováno v:
Numerical Algorithms. 90:1175-1196
Anymatrix is a MATLAB toolbox that provides an extensible collection of matrices with the ability to search the collection by matrix properties. Each matrix is implemented as a MATLAB function and the matrices are arranged in groups. Compared with pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3b482c4e609f14d69e10bf855f157f9
https://doi.org/10.1007/s11075-021-01226-2
https://doi.org/10.1007/s11075-021-01226-2
Autor:
Mantas Mikaitis
Publikováno v:
IJCNN
We present algorithms and a hardware accelerator for performing stochastic rounding (SR). Our main goal is to augment the ARM M4F-based multi-core processor SpiNNaker2 with a more flexible rounding functionality than is available in the ARM processor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f02966d8ebd46c93a5c8b2534ee10e86
https://doi.org/10.1109/ijcnn52387.2021.9533756
https://doi.org/10.1109/ijcnn52387.2021.9533756
Autor:
Massimiliano Fasi, Mantas Mikaitis
Publikováno v:
ARITH
Fasi, M & Mikaitis, M 2021, ' Algorithms for Stochastically Rounded Elementary Arithmetic Operations in IEEE 754 Floating-Point Arithmetic ', IEEE Transactions on Emerging Topics in Computing, vol. 9, no. 3, pp. 1451-1466 . https://doi.org/10.1109/TETC.2021.3069165
Fasi, M & Mikaitis, M 2021, ' Algorithms for Stochastically Rounded Elementary Arithmetic Operations in IEEE 754 Floating-Point Arithmetic ', IEEE Transactions on Emerging Topics in Computing, vol. 9, no. 3, pp. 1451-1466 . https://doi.org/10.1109/TETC.2021.3069165
We present algorithms for performing the five elementary arithmetic operations ( $+$ + , $-$ - , ×, $\div$ ÷ , and $\sqrt{\phantom{x}}$ x ) in floating point arithmetic with stochastic rounding, and demonstrate the value of these algorithms by disc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96572cd6f1b1ad83c7a437b55f82e51b
https://doi.org/10.1109/arith51176.2021.00024
https://doi.org/10.1109/arith51176.2021.00024