Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Sakdhnagool, Putt
13  Ergebnisse:
Personensuche X
?
1

Quantum Dynamics at Scale : Ultrafast Control of Emergen..:

, In: Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region,
Tiwari, Subodh C ; Krishnamoorthy, Aravind ; Rajak, Pankaj... - p. 1-10 , 2020
Link: https://dl.acm.org/doi/1..
 
?
2

Pagoda: A GPU Runtime System for Narrow Tasks:

Yeh, Tsung Tai ; Sabne, Amit ; Sakdhnagool, Putt..
ACM Transactions on Parallel Computing.  6 (2019)  4 - p. 1-23 , 2019
Link: https://doi.org/10.1145/..
 
?
3

Pagoda : A GPU Runtime System for Narrow Tasks:

Yeh, Tsung Tai ; Sabne, Amit ; Sakdhnagool, Putt..
ACM Transactions on Parallel Computing (TOPC).  6 (2019)  4 - p. 1-23 , 2019
Link: https://dl.acm.org/doi/1..
 
?
4

Optimizing GPU programs by register demotion : poster:

, In: Proceedings of the 24th Symposium on Principles and Practice of Parallel Programming,
Sakdhnagool, Putt ; Sabne, Amit ; Eigenmann, Rudolf - p. 405-406 , 2019
Link: https://dl.acm.org/doi/1..
 
?
5

Comparative analysis of coprocessors:

Sakdhnagool, Putt ; Sabne, Amit ; Eigenmann, Rudolf
Concurrency and Computation: Practice and Experience.  31 (2018)  1 - p. , 2018
Link: https://doi.org/10.1002/..
 
?
6

Pagoda: Fine-Grained GPU Resource Virtualization for Narrow..:

Yeh, Tsung Tai ; Sabne, Amit ; Sakdhnagool, Putt..
ACM SIGPLAN Notices.  52 (2017)  8 - p. 221-234 , 2017
Link: https://doi.org/10.1145/..
 
?
7

Pagoda : Fine-Grained GPU Resource Virtualization for Na..:

, In: Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming,
Yeh, Tsung Tai ; Sabne, Amit ; Sakdhnagool, Putt.. - p. 221-234 , 2017
Link: https://dl.acm.org/doi/1..
 
?
8

Massively parallel 3D image reconstruction:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Wang, Xiao ; Sabne, Amit ; Sakdhnagool, Putt... - p. 1-12 , 2017
Link: https://dl.acm.org/doi/1..
 
?
9

POSTER : Pagoda: A Runtime System to Maximize GPU Utiliz..:

, In: Proceedings of the 2016 International Conference on Parallel Architectures and Compilation,
Yeh, Tsung Tai ; Sabne, Amit ; Sakdhnagool, Putt.. - p. 449-450 , 2016
Link: https://dl.acm.org/doi/1..
 
?
10

HeteroDoop : A MapReduce Programming System for Accelera..:

, In: Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing,
Sabne, Amit ; Sakdhnagool, Putt ; Eigenmann, Rudolf - p. 235-246 , 2015
Link: https://dl.acm.org/doi/1..
 
?
11

Understanding Portability of a High-Level Programming Model..:

Sabne, Amit ; Sakdhnagool, Putt ; Lee, Seyong.
IEEE Micro.  35 (2015)  4 - p. 48-58 , 2015
Link: https://doi.org/10.1109/..
 
?
12

Scaling large-data computations on multi-GPU accelerators:

, In: Proceedings of the 27th international ACM conference on International conference on supercomputing,
Sabne, Amit ; Sakdhnagool, Putt ; Eigenmann, Rudolf - p. 443-454 , 2013
Link: https://dl.acm.org/doi/1..
 
?
13

RegDem: Increasing GPU Performance via Shared Memory Regist..:

Sakdhnagool, Putt ; Sabne, Amit ; Eigenmann, Rudolf
http://arxiv.org/abs/1907.02894.  , 2019
Link: http://arxiv.org/abs/190..
 
1-13