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TICOH TERMINATED

Taming Irregular Computations On Heterogeneous processors

Total Cost €

EC-Contrib. €

Partnership

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TICOH project word cloud

Explore the words cloud of the TICOH project. It provides you a very rough idea of what is the project "TICOH" about.

distributed designed cloudlightning computing engineering heterogenous ntnu suffers more elster hardware cpu broad despite integrate environment processors newly transfer irregular modern domains issue bottlenecks empirically anne scalable memories benchmark degraded progress bidirectional oriented structures infrastructure action successful memory mainly explore matrix structure heterogeneity graph equipping model unsatisfactory software modeling lab world guarantee gpu decade practices data heterogeneous ultimate toward hpc construction ticoh algorithm understand unfortunately prof relatively era performance team computations benefit lack sparse algorithms supercomputers hosting bridges bandwidth integration

Project "TICOH" data sheet

The following table provides information about the project.

Coordinator	NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU Organization address address: HOGSKOLERINGEN 1 city: TRONDHEIM postcode: 7491 website: www.ntnu.no contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Norway [NO]
Total cost	208˙400 €
EC max contribution	208˙400 € (100%)
Programme	1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
Code Call	H2020-MSCA-IF-2016
Funding Scheme	MSCA-IF-EF-ST
Starting year	2017
Duration (year-month-day)	from 2017-05-01 to 2019-06-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU Organization address address: HOGSKOLERINGEN 1 city: TRONDHEIM postcode: 7491 website: www.ntnu.no contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NO (TRONDHEIM)	coordinator	208˙400.00

Map

Project objective

In the past decade, more and more heterogeneous processors are equipping modern supercomputers. Unfortunately, despite the progress of hardware infrastructure, the utilization of heterogeneous computing is still relatively low in practice. The utilization mainly suffers from two bottlenecks: distributed memories that bring high cost for software engineering and degraded performance, and lack of heterogeneity-oriented scalable approaches for irregular problems. The objective of the project TICOH is to address the issue of currently unsatisfactory utilization of heterogeneous computing for irregular problems such as graph and sparse matrix processing. Following a multi-level approach which bridges the domains of performance measurement, benchmark data analysis, modeling, data structure construction, algorithm design and application integration, TICOH will explore best practices that toward the best performance for irregular computations on the best hardware selection. Specifically, the main focus of the project will be to (a) identify and understand bottlenecks of current heterogeneous computing, (b) benchmark and model heterogenous processors composed of CPU, GPU and high-bandwidth memories, (c) design and evaluate new data structures and algorithms for irregular problems aiming for fully use computing and memory resources, and (d) integrate and apply the newly designed approaches for high-level applications. By empirically investigating these issues, the ultimate goal of the project is to allow a broad range of real-world applications to further benefit from heterogeneous hardware in the new era. Prof. Anne C. Elster will be hosting this action at the HPC-Lab of NTNU. Her research team is known for its experience with heterogeneous computing, and is one of the main partners in the H2020 CloudLightning project. This environment will guarantee successful bidirectional transfer of knowledge.

Publications

List of publications.
year	authors and title	journal	last update
2019	Junhong Liu, Xin He, Weifeng Liu, Guangming Tan Register-Aware Optimizations for Parallel Sparse Matrixâ€“Matrix Multiplication published pages: 403-417, ISSN: 0885-7458, DOI: 10.1007/s10766-018-0604-8	International Journal of Parallel Programming 47/3	2019-09-20
2018	Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Canqun Yang clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization published pages: , ISSN: 0167-739X, DOI: 10.1016/j.future.2018.04.071	Future Generation Computer Systems	2019-09-20

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