|
|
|
|
|
Takuma Kawamura,Tomoyuki Noda,Yasuhiro Idomura
Pág. 43 - 54
We examine the performance of the in-situ data exploration framework based on the in-situ Particle Based Volume Rendering (In-Situ PBVR) on the latest many-core platform. In-Situ PBVR converts extreme scale volume data into small rendering primitive part...
ver más
|
|
|
|
|
|
|
|
|
Xiangke Liao,Shaoliang Peng,Yutong Lu,Yingbo Cui,Chengkun Wu,Heng Wang,Jiajun Wen
Pág. 73 - 83
The growing velocity of biological big data is way beyond Moore's Law of compute power growth. The amount of genomic data has been explosively accumulating, which calls for an enormous amount of computing power, while current computation methods cannot s...
ver más
|
|
|
|
|
|
|
|
|
Georges Da Costa,Thomas Fahringer,Juan Antonio Rico Gallego,Ivan Grasso,Atanas Hristov,Helen D. Karatza,Alexey Lastovetsky,Fabrizio Marozzo,Dana Petcu,Georgios L. Stavrinides,Domenico Talia,Paolo Trunfio,Hrachya Astsatryan
Pág. 6 - 27
Extreme scale parallel computing systems will have tens of thousands of optionally accelerator-equiped nodes with hundreds of cores each, as well as deep memory hierarchies and complex interconnect topologies. Such Exascale systems will provide hardware ...
ver más
|
|
|
|
|
|
|
|
|
Mateo Valero,Miquel Moreto,Marc Casas,Eduard Ayguade,Jesus Labarta
Pág. 29 - 44
In the last few years, the traditional ways to keep the increase of hardware performance at the rate predicted by Moore's Law have vanished. When uni-cores were the norm, hardware design was decoupled from the software stack thanks to a well defined Inst...
ver más
|
|
|
|
|
|
|
|
|
Jack Dongarra,Azzam Haidar,Jakub Kurzak,Piotr Luszczek,Stanimire Tomov,Asim YarKhan
Pág. 85 - 115
Hardware heterogeneity of the HPC platforms is no longer considered unusual but instead have become the most viable way forward towards Exascale. In fact, the multitude of the heterogeneous resources available to modern computers are designed for d...
ver más
|
|
|
|