Skeleton-Based Synthesis Flow for Computation-in-Memory Architectures

Autor: Henk Corporaal, Koen Bertels, Razvan Nane, Mottaqiallah Taouil, Imran Ashraf, Said Hamdioui, Jintao Yu

Publikováno v: IEEE Transactions on Emerging Topics in Computing, 8(2)
IEEE Transactions on Emerging Topics in Computing, 8(2):8076720, 545-558. Institute of Electrical and Electronics Engineers

Memristor-based Computation-in-Memory (CIM) is one of the emerging architectures for next-generation Big Data problems. Its design requires a radically new synthesis flow as the memristor is a passive device that uses resistances to encode its logic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37888818df950a80b6d3f0c1c23d4266
https://doi.org/10.1109/tetc.2017.2760927

Algorithmic Skeletons and Parallel Design Patterns in Mainstream Parallel Programming

Autor: Gabriele Mencagli, Peter Kilpatrick, Massimo Torquati, Marco Danelutto, Horacio González–Vélez

Publikováno v: Danelutto, M, Mencagli, G, Torquati, M, González–Vélez, H & Kilpatrick, P 2020, ' Algorithmic Skeletons and Parallel Design Patterns in Mainstream Parallel Programming ', International Journal of Parallel Programming . https://doi.org/10.1007/s10766-020-00684-w

This paper discusses the impact of structured parallel programming methodologies in state-of-the-art industrial and research parallel programming frameworks. We first recap the main ideas underpinning structured parallel programming models and then p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33832afd70b86724d72336f75b4ea0f1
https://doi.org/10.1007/s10766-020-00684-w

High-Level Stream and Data Parallelism in C++ for Multi-Cores

Autor: Luiz Gustavo Fernandes, Renato B. Hoffman, Dalvan Griebler, Junior Loff

Publikováno v: SBLP

Stream processing applications have seen an increasing demand with the increased availability of sensors, IoT devices, and user data. Modern systems can generate millions of data items per day that require to be processed timely. To deal with this de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c413e883932d260eb65d882da1d8a355
https://doi.org/10.1145/3475061.3475078

Automatic parallelization of recursive functions with rewriting rules

Autor: Fernando Magno Quintão Pereira, Luís F. W. Góes, Rodrigo C. O. Rocha

Publikováno v: Science of Computer Programming. 173:128-152

Functional programming languages, since their early days, have been regarded as the holy grail of parallelism. And, in fact, the absence of race conditions, coupled with algorithmic skeletons such as map and reduce, have given developers the opportun

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::51e5c839234d630f8b493957366b2cf1
https://doi.org/10.1016/j.scico.2018.01.004

The RePhrase Extended Pattern Set for Data Intensive Parallel Computing

Autor: Tiziano De Matteis, Massimo Torquati, Daniele De Sensi, Marco Danelutto, Marco Aldinucci, Gabriele Mencagli, Peter Kilpatrick

Publikováno v: Danelutto, M, Tiziano, D M, Daniele, D S, Mencagli, G, Torquati, M, Aldinucci, M & Kilpatrick, P 2017, ' The RePhrase Extended Pattern Set for Data Intensive Parallel Computing ', International Journal of Parallel Programming . https://doi.org/10.1007/s10766-017-0540-z

We discuss the extended parallel pattern set identified within the EU-funded project RePhrase as a candidate pattern set to support data intensive applications targeting heterogeneous architectures. The set has been designed to include three classes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19adfed94ca82d772129fc341fa0ef1b
https://doi.org/10.1007/s10766-017-0540-z