Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Magnus Morton"'
Publikováno v:
Franke, B, Li, Z, Morton, M & Steuwer, M 2022, Collection Skeletons-Declarative Abstractions for Data Collections . in B Fischer, L Burgueño & W Cazzola (eds), Proceedings of the 15th ACM SIGPLAN International Conference on Software Language Engineering (SLE 2022) . Association for Computing Machinery (ACM), pp. 189-201, The 15th ACM SIGPLAN International Conference on Software Language Engineering, 2022, Auckland, New Zealand, 5/12/22 . https://doi.org/10.1145/3567512.3567528
Modern programming languages provide programmers with rich abstractions for data collections as part of their standard libraries, e.g. Containers in the C++ STL, the Java Collections Framework, or the Scala Collections API. Typically, these collectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37e37212aee0c868af19f3253fafe371
https://doi.org/10.1145/3567512.3567528
https://doi.org/10.1145/3567512.3567528
Autor:
Chaitali Chakrabarti, Dong-Hyeon Park, Kuba Kaszyk, Trevor Mudge, Ronald G. Dreslinski, Michael O'Boyle, Magnus Morton, Xin He, Jiawen Sun, Siying Feng, Subhankar Pal, Murray Cole
Publikováno v:
Feng, S, Sun, J, Pal, S, He, X, Kaszyk, K, Park, D, Morton, M, Mudge, T, Cole, M, O'Boyle, M, Chakrabarti, C & Dreslinski, R 2021, CoSPARSE: A Software and Hardware Reconfigurable SpMV Framework for Graph Analytics . in 2021 58th ACM/IEEE Design Automation Conference (DAC) . pp. 949-955, 58th Design Automation Conference, San Francisco, California, United States, 5/12/21 . https://doi.org/10.1109/DAC18074.2021.9586114
DAC
DAC
Sparse matrix-vector multiplication (SpMV) is a critical building block for iterative graph analytics algorithms. Typically, such algorithms have a varying active vertex set across iterations. This variability has been used to improve performance by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b42d472f35e3a285b2846edf6c3ef531
https://www.pure.ed.ac.uk/ws/files/199764078/CoSPARSE_FENG_DOA28022021_AFV.pdf
https://www.pure.ed.ac.uk/ws/files/199764078/CoSPARSE_FENG_DOA28022021_AFV.pdf
Autor:
Kuba Kaszyk, John Magnus Morton, Christophe Dubach, Michael O'Boyle, Murray Cole, Michel Steuwer, Jiawen Sun, Lu Li
Publikováno v:
DLS
Python is a popular, dynamic language for data science and scientific computing. To ensure efficiency, significant numerical libraries are implemented in static native languages. However, performance suffers when switching between native and non-nati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0e8c77d27c12e6c01bcd6d746d2371a
https://doi.org/10.1145/3426422.3426980
https://doi.org/10.1145/3426422.3426980
Autor:
Subhankar Pal, Kyle May, Aporva Amarnath, Chaitali Chakrabarti, Ronald G. Dreslinski, Siying Feng, Xin He, Trevor Mudge, Jiawen Sun, Chi-Sheng Yang, Kuba Kaszyk, John Magnus Morton, Sung Kim, Michael O'Boyle, Hun-Seok Kim, David Blaauw, Jonathan Beaumont, Dong-Hyeon Park, Murray Cole, Yan Xiong
Publikováno v:
PACT
Pal, S, Feng, S, Park, D, Kim, S, Amarnath, A, Yang, C-S, He, X, Beaumont, J, May, K, Xiong, Y, Kaszyk, K, Morton, J M, Sun, J, O'Boyle, M, Cole, M, Chakrabarti, C, Blaauw, D, Kim, H-S, Mudge, T & Dreslinski, R 2020, Transmuter: Bridging the Efficiency Gap using Memory and Dataflow Reconfiguration . in Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques . pp. 175-190, 29th International Conference on Parallel Architectures and Compilation Techniques, Virtual conference, 3/10/20 . https://doi.org/10.1145/3410463.3414627
Pal, S, Feng, S, Park, D, Kim, S, Amarnath, A, Yang, C-S, He, X, Beaumont, J, May, K, Xiong, Y, Kaszyk, K, Morton, J M, Sun, J, O'Boyle, M, Cole, M, Chakrabarti, C, Blaauw, D, Kim, H-S, Mudge, T & Dreslinski, R 2020, Transmuter: Bridging the Efficiency Gap using Memory and Dataflow Reconfiguration . in Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques . pp. 175-190, 29th International Conference on Parallel Architectures and Compilation Techniques, Virtual conference, 3/10/20 . https://doi.org/10.1145/3410463.3414627
With the end of Dennard scaling and Moore’s law, it is becoming increasingly difficult to build hardware for emerging applications that meet power and performance targets, while remaining flexible and programmable for end users. This is particularl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84f17173bde49af31818413a136e2eea
https://doi.org/10.1145/3410463.3414627
https://doi.org/10.1145/3410463.3414627
Publikováno v:
Morton, J M, Maier, P & Trinder, P 2016, ' JIT-Based Cost Analysis for Dynamic Program Transformations ', Electronic Notes in Theoretical Computer Science, vol. 330, pp. 5-25 . https://doi.org/10.1016/j.entcs.2016.12.012
Tracing JIT compilation generates units of compilation that are easy to analyse and are known to execute frequently. The AJITPar project investigates whether the information in JIT traces can be used to dynamically transform programs for a specific p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbe2241e8dbef3756b4f2da82010c28c
https://eprints.gla.ac.uk/137422/1/137422.pdf
https://eprints.gla.ac.uk/137422/1/137422.pdf
Publikováno v:
FHPC@ICFP
The proliferation of widely available, but very different, parallel\ud architectures makes the ability to deliver good parallel performance\ud on a range of architectures, or performance portability, highly\ud desirable. Irregular parallel problems,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9c94d1650aac7234925bccd6cb412cb
https://shura.shu.ac.uk/18623/1/FHPC2016-accepted_version.pdf
https://shura.shu.ac.uk/18623/1/FHPC2016-accepted_version.pdf
Autor:
CASTRO, OSCAR1 oscar.castro@list.lu, BRUNEAU, PIERRICK1 pierrick.bruneau@list.lu, SOTTET, JEAN-SÉBASTIEN1 jean-sebastien.sottet@list.lu, TORREGROSSA, DARIO2 dario_torregrossa@goodyear.com
Publikováno v:
ACM Computing Surveys. Mar2024, Vol. 56 Issue 3, p1-30. 30p.
Autor:
FENG XUE, CHENJI HAN, XINYU LI, JUNLIANG WU, TINGTING ZHANG, TIANYI LIU, YIFAN HAO, ZIDONG DU, QI GUO, FUXIN ZHANG
Publikováno v:
ACM Transactions on Architecture & Code Optimization; Jun2024, Vol. 21 Issue 2, p1-26, 26p
Publikováno v:
ACM Transactions on Architecture & Code Optimization; Jun2024, Vol. 21 Issue 2, p1-26, 26p
Publikováno v:
ACM Transactions on Embedded Computing Systems; Oct2022, Vol. 21 Issue 6, p1-29, 29p