Call for Nominations:
2020 IEEE CS TCHPC Early Career Researchers Award for Excellence in High Performance Computing
The IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing recognizes up to 3 individuals who have made outstanding, influential, and potentially long-lasting contributions in the field of high-performance computing within 5 years of receiving their PhD degree as of January 01 of the year of the award. It is sponsored by the IEEE Computer Society Technical Consortium on High Performance Computing (TCHPC) and its member Technical Committees:
•Technical Committee on Parallel Processing (TCPP)
•Technical Committee on Computer Communications (TCCC)
•Technical Committee on Distributed Processing (TCDP)
•Technical Committee on Cloud Computing (TCCLD)
•Task Force on Rebooting Computing (TFRC)
•Technical Committee on Computational Life Sciences (TCCLS)
Nominations: A candidate must be nominated by member(s) of the community. An individual may nominate at most one candidate for this award. The nomination application must be submitted via email to tchpc-awards(a)computer.org as a single PDF file and should contain the following details:
1.Name/email of person making the nomination (self-nominations are not eligible).
2.Name/email of candidate for whom the award is recommended.
3.A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award. Note that since the award is for outstanding contributions, the statement and supporting letters should address what the contributions are and why they are both outstanding and significant. The nomination should also list the names and email of up to 3 persons who have provided letters supporting the nomination.
4.CV of the nominee.
5.Up to three letters of support from persons other than the nominator – these should be collected by the nominator and included in the nomination.
Important Dates:
•Nomination Deadline: August 15, 2020
•Results Notification: September 15, 2020
Award Selection Committee: The award selection committee consists of:
•Rosa M. Badia, Barcelona Supercomputing Center, Spain
•Tom Conte, Georgia Institute of Technology, USA
•Yufei Ding, University of California Santa Barbara, USA
•Vladimir Getov, University of Westminster, UK (Chair)
•Xu Liu, College of William & Mary, USA
•Guillaume Pallez, Inria, France
•Happy Sithole, National Integrated Cyber-Infrastructure (NICIS), South Africa
Note that members of the selection committee cannot be nominators or provide support letters.
Award & Presentation Note: Awardees will be presented a plaque and will be recognized by IEEE Computer Society and TCHPC websites, newsletters and archives. The awards will be presented at the SC20 conference that will be held virtually during November 9 – 19, 2020. Details of the conference can be found at http://sc20.supercomputing.org/. For more information, please send email to tchpc-awards(a)computer.org.
The University of Westminster is a charity and a company limited by guarantee. Registration number: 977818 England. Registered Office: 309 Regent Street, London W1B 2HW.
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The deadline to submit a presentation proposal to the Maple Conference 2020 is coming up quickly! Proposals are due on Aug. 16, 2020. Please see the Call for Presentations, below, for details.
Call for Presentations
Maple Conference 2020 invites submissions of proposals for presentations on a range of topics related to Maple, falling into three broad categories:
Maple in Education
Topics could include, but are not limited to:
* Effective ways to use Maple as a tool to support remote learning or hybrid courses
* Innovative uses of Maple in the classroom (new ways to approach old problems, methods for using Maple to teach courses outside of traditional core math, impact on the curriculum, etc.)
* Measurable improvements in student performance after integrating Maple into a course
* Classroom tips and techniques/best practices drawn from experience
Algorithms and Software
Topics could include, but are not limited to:
* Symbolic and symbolic-numeric methods for solving mathematical problems, from any field
* Algorithm optimization and performance tuning techniques
* Effective use of types and data representations for particular problems or domains
* User interfaces for mathematical problem solving
Applications of Maple
Topics could include, but are not limited to:
* Applications that use Maple in unusual settings or in unusual ways
* Applications that push or extend the limit of what Maple can do
* Applications that explore critical world problems
* Applications that combine Maple with other technology
All presentation proposals will be reviewed by the conference organizing committee. If the proposal is accepted, the submitter will be invited to present their work at the conference.
After the conference, all presenters and invited speakers will be invited to submit a full paper for inclusion in the conference proceedings. These submissions will undergo peer-review, and the decision about acceptance or rejection lies with the Maple Conference 2020 Program Committee<https://www.maplesoft.com/mapleconference/Papers-and-Presentations.aspx>.
Presentation Proposals
Your presentation proposal should be in the form of a title and abstract for your proposed talk. Abstracts should be under one page/400 words in length, and must be in English. If your presentation proposal is accepted, at least one author is expected to attend the conference to present the paper.
All presentations are to be given in English.
Papers (optional)
After the conference, all presenters and invited speakers will be invited to submit a full paper on the work they presented. These papers will undergo peer-review, and if accepted, will appear in the conference proceedings. Papers should not duplicate work published or submitted for consideration elsewhere.
Papers must be in English and should be 6-15 pages in length. Please follow the Springer LNCS conference proceedings author instructions<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>. Authors should download the .zip file: "LaTeX2e Proceedings Templates."
Submission Instructions
Proposals should be in the form of a Word doc or a PDF.
Submission is via EasyChair at https://easychair.org/conferences/?conf=maple2020
Conference Details and Important Dates
Conference Date: November 2-6, 2020
Location: The conference will be held online.
Program Chairs: Robert M. Corless, Western University, and Jürgen Gerhard, Maplesoft
Submission Deadlines
Abstract submission: July 15, 2020 Extended to August 16, 2020
Notification of acceptance/rejection of presentation proposal: August 31, 2020 September 18, 2020
Paper submission: December 31, 2020
Notification of paper acceptance/rejection: February 28, 2021
Camera-ready copy due: March 31, 2021
We look forward to reviewing your proposal. See you at Maple Conference 2020!
Sincerely,
Rob Corless and Jürgen Gerhard, Maple Conference 2020 Program Chairs
(c) Maplesoft, a division of Waterloo Maple Inc., 615 Kumpf Drive Waterloo ON Canada N2V1K8; customerservice(a)maplesoft.com<mailto:customerservice@maplesoft.com>. All trademarks are property of their respective owners. To manage subscriptions or to opt out of all commercial email communications from Maplesoft, please click here<%25%25unsubscribe%25%25>.
Dear Sir, dear Madam,
Please, can you pass this announcement also to interested colleagues.
Kind regards
==========================================================================
CALL FOR PAPERS
The 7th Special Session on High Performance Computing for Application
Benchmarking and Optimization (HPBench 2020)
As part of the International Conference on High Performance Computing &
Simulation (HPCS 2020) http://hpcs2020.cisedu.info/ or
http://conf.cisedu.info/rp/hpcs20
Barcelona, Spain (Virtual/Online event)
==========================================================================
Benchmarking is an essential aspect of modern high performance computing
and computational science, and as such, it provides a means for quantifying
and comparing the performance of different computer systems. With a
large combination of aspects to benchmark, all the way from the capability
of a single core, to cluster configuration, and to various software
configurations, the benchmarking process is more of an art than science.
However, the results of this process drive modern science and are vital for
the community to draw sensible conclusions on the performance of
applications and systems. This special session focuses on research work
aimed at benchmarking modern parallel and distributed systems for
addressing a number of real world problems. As such, contributions
concerning the definition of new open platforms, new benchmarks to match
modern architectural evolutions, studies on the aspects of benchmarking
different aspects of systems (from raw runtime performance to energy
consumption to energy consumed per data movement) and mathematical
foundations of benchmarking are sought.
IMPORTANT DATES :
Papers Due: 07 September 2020 - Extended
Author Notification: 28 September 2020
Camera-Ready Submission: 09 October 2020
Conference Dates: 10-14 October 2020
TOPICS :
The HPBench topics of interest include, but are not limited to
-Open Platforms for Parallel and Distributed Application Benchmarking and
Optimization
-Benchmarking on the Cloud
-Benchmarking of Clusters, Supercomputers, and large-scale systems
-Benchmarking the Performance of I/O
-Benchmarking of Energy and Energy Efficiency
-Benchmarking Web Services
-Virtualization for Distributed Benchmarking
-Data Distribution for Benchmarking
-Performance results of benchmarks on modern platforms
-Scalability Aspects of Benchmarking Parallel Applications on Parallel and
Distributed Systems
-Benchmarking of Parallel Scientific and Business Applications
-Performance of Benchmarking Applications (Eg: NAS parallel benchmarks)
-Techniques, frameworks and results concerning the benchmarking of library
packages
-Tools and frameworks for performance modeling systems and applications
-Tools and frameworks for simulation, measurement and monitoring
-Performance Measurements, Monitoring, Modeling and Simulation
-Domain-specific benchmarks and applications (such as image processing,
pattern recognition, cryptography, biometrics, differential equation
solvers, signal processing and alike)
-Mathematical Foundations of Benchmarking, Metrics and Heuristics
GENERAL CHAIRS :
Samar Aseeri, King Abdullah University of Science and Technology, Saudi
Arabia
Jordi Blasco, New Zealand eScience Infrastructure & Landcare Research, New
Zealand
Luigi Iapichino, Leibniz Supercomputing Centre (LRZ), Germany
TECHNICAL PROGRAM COMMITTEE:
Cosimo Anglano, Universitá del Piemonte Orientale, Italy
Fabio Baruffa, Intel, Germany
Ben Blamey, Uppsala University, Sweden
Suren Byna, Lawrence Berkeley National Laboratory, California, USA
Paul Carpenter, Barcelona Supercomputing Center, Spain
Jesus Carretero, Universidad Carlos III de Madrid, Spain
Douglas Doerfler, Lawrence Berkeley National Laboratory, USA
Zhiyi Huang, University of Otago, New Zealand
Clay Hughes, Sandia National Laboratories, USA
Aleksandar Ilic, Universidade de Lisboa, Portugal
Vasileios Karakasis, CSCS Swiss National Supercomputing Centre, Switzerland
Bok Jik Lee, Seoul National University, Korea
Sebastian Lührs, Jülich Supercomputing Centre, Forschungszentrum Jülich
GmbH, Jülich, Germany
Ravi Reddy Manumachu, University College Dublin, Ireland
Dana Petcu, West University of Timisoara, Romania
Ivan Rodero, Rutgers University, USA
*********************************************************************
For more information see
http://conf.cisedu.info/rp/hpcs20/2-conference/special-sessions/session02-h…
Kind Regards
--
Samar Aseeri, PhD
Computational Scientist
Extreme Computing Research Center (ECRC)
Building 1 -Office: 0128
*King Abdullah University of Science & Technology*
Thuwal, Saudi Arabia
--
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==============================================================================
The 21th IEEE/ACM International Symposium on Cluster, Cloud and Internet
Computing (CCGrid 2021)
May 10-13, 2021, Melbourne, Victoria, Australia
cloudbus.org/ccgrid2021/
==============================================================================
Call For Papers
The 21st IEEE/ACM international Symposium on Cluster, Cloud and
Internet Computing (CCGrid 2021) is a leading forum to disseminate and
discuss research activities and results on a broad range of topics in
distributed systems, ranging from computing Clusters to widely
distributed Clouds and emerging Internet computing paradigms such as
Fog/Edge Computing for Internet of Things (IoT)/Big Data applications.
The conference features keynotes, technical presentations, posters,
workshops, tutorials, as well as the SCALE challenge featuring live
demonstrations and the ICFEC 2021 conference.
In 2021, IEEE/ACM CCGrid 2021 will be ‘self-colocated’ with its
postponed 2020 edition, in Melbourne, Australia. We will jointly
celebrate the 20th and 21st anniversary of the conference !
We solicit original contributions on all aspects of distributed systems
and applications in the context of Cluster, Cloud, and Internet
computing environments. Specific topics of interest include but are not
limited to the following:
Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming,
Highly decentralized approaches to cloud computing. Edge/Fog computing,
sensor data streaming and computation on the edges of the network.
Function as a Service (Faas), Backend as a Service (BaaS), serverless
computing, lambda computing.
Architecture, Networking, Data Centers: Service oriented architectures.
Utility computing models. IaaS, PaaS, SaaS, *aaS paradigms. Service
composition and orchestration. Software-Defined Network-enabled Systems.
Micro-datacenter, cloudlet, edge, or fog computing infrastructure.
Virtualized hardware: GPUs, tensor processing units, FPGAs.
Storage and I/O Systems: Distributed storage, cloud storage, Storage as
a Service, data locality techniques for in-memory processing, storage in
the edge.
Programming Models and Runtime Systems: Programming models, languages,
systems and tools/environments. Virtualization, containers, and
middleware technologies. Actors, agents, programming decentralized
computing systems.
Resource Management and Scheduling: Resource allocation algorithms,
profiling, modeling. Cluster, cloud, and internet computing scheduling
and meta-scheduling techniques.
Performance Modelling and Evaluation: Performance models. Monitoring and
evaluation tools. Analysis of system/application performance.
Cyber-Security, Privacy and Resilient Distributed Systems: Distributed
Systems security and trust. Access control. Data privacy and integrity.
Regulation. Resiliency of service attacks.
Sustainable and Green Computing: Environment friendly computing
ecosystems. Hardware/software/application energy efficiency. Power,
cooling and thermal awareness.
Applications: Data Science, Artificial Intelligence, Machine Learning,
Cyber-Physical Systems, e-Health, Internet of Things (IoT)-enabled Smart
Systems and Applications.
------------------------
Chairs and Committees
------------------------
General Chairs:
Rajkumar Buyya, University of Melbourne, Australia
Gul Agha, University of Illinois at Urbana-Champaign, USA
Program Committee Co-Chairs:
Laurent Lefevre, INRIA, France
Stacy Patterson, RPI, USA
Young Choon Lee, Macquarie University, Australia
Important Dates
Paper Due: 8 December 2020 (Final paper submission : 15 December)
Acceptance Notification: 8 February 2021
Camera Ready Papers Due: 3 March 2021
==============================================================================
********************************************************************
Call for Participation
Workshop on Hierarchical Parallelism for Exascale Computing
---HiPar20---
Held in conjunction with SC20 - virtual event
In cooperation with: IEEE and TCHPC.
www.hipar.net
********************************************************************
================================
Summary
================================
High Performance Computing (HPC) platforms are evolving towards having fewer but more powerful nodes,
driven by the increasing number of physical cores in multiple sockets and accelerators.
The boundary between nodes and networks is starting to blur, with some nodes now containing tens of
compute elements and memory sub-systems connected via a memory fabric. The immediate consequence is an
increase in complexity due to ever more complex architectures (e.g., memory hierarchies), novel
accelerator designs, and energy constraints. Spurred largely by this trend, hierarchical parallelism
is gaining momentum. This approach embraces, rather than avoiding, the intrinsic complexity of current
and future HPC systems by exploiting parallelism at all levels: compute, memory and network. This
workshop focuses on hierarchical parallelism. It aims to bring together application, hardware,
and software practitioners proposing new strategies to fully exploit computational hierarchies, and
examples to illustrate their benefits to achieve extreme scale parallelism.
================================
Scope and Aims
================================
HiPar20 is designed to showcase new studies, approaches, and cutting-edge ideas on hierarchical
parallelism for extreme-scale computing. We welcome papers and talks from the HPC community
addressing the use of emerging architectures — focusing particularly on those characterized by fewer
but more powerful nodes as well as systems with hierarchical network with tiered communication semantics.
Specifically, the emphasis is on the design, implementation, and application of programming models for
multi-level parallelism, including abstractions for hierarchical memory access, heterogeneity,
multi-threading, vectorization, and energy efficiency, as well as scalability and performance studies thereof.
Of particular interest are models addressing these concerns portably: providing ease of programming
and maintaining performance in the presence of varied accelerators, hardware configurations,
and execution models. Studies that explore the merits of specific approaches to addressing these concerns,
such as generic programming or domain specific languages, are also in scope.
The workshop is not limited to the traditional HPC software community.
As one example, another key topic is the use of hierarchical parallelism in dealing with the challenges
arising in machine learning due to the growing importance of this field, the large scale of systems
tackled in that area, and the increasing interest from more traditional HPC areas.
A goal of HiPar20 is to highlight not just success stories but also discuss drawbacks and challenges.
HiPar20 welcomes HPC practitioners from all areas, ranging from hardware and compiler experts
to algorithms and software developers, to present and discuss the state of the art in emerging
approaches to utilize multi-level parallelism for extreme scale computing.
================================
Topics
================================
Submissions are encouraged in, but not limited to the following areas:
* Hierarchical work scheduling and execution;
* Hardware, software, and algorithmic advances for efficient use of memory hierarchies, multi-threading and vectorization;
* Efficient use of nested parallelism, for example CUDA dynamic parallelism, for large scale simulations;
* Programming heterogeneous nodes;
* Leading-edge programming models, for example fully distributed task-based models and hybrid MPI+X,
with X representing shared memory parallelism via threads, vectorization, tasking or parallel loop constructs.
* Implementations of algorithms that are natural fits for nested work (for example approaches that use recursion);
* Challenges and successes in managing computing hierarchies;
* Examples demonstrating effective use of the combination of inter-node and intra-node parallelism;
* Novel approaches leveraging asynchronous execution to maximize efficiency;
* Challenges and successes of porting of existing applications to many-core and heterogeneous platforms;
* Recent developments in compiler optimizations for emerging architectures;
* Applications of hierarchical programming models from emerging AI fields, for example deep learning and extreme-scale data analytics.
================================
Submission Guidelines
================================
We solicit submissions in the following categories:
(a) Regular research papers:
Intended for submissions describing original work and ideas that have not appeared in another conference or journal,
and are not currently under review for any other conference or journal.
Regular papers must be at least (6) and must not exceed (10) letter size pages (U.S. letter – 8.5"x11").
Accepted regular papers will be published in the workshop proceedings in cooperation with IEEE TCHPC.
(b) Short papers:
Intended for material that is not mature enough for a full paper, to present novel, interesting ideas
or preliminary results that will be formally submitted elsewhere.
Short papers must not exceed four (4) pages.
Short papers will NOT be included in the proceedings.
Please note that:
- The page limits above only apply to the core text, content-related appendices, and figures.
References and reproducibility appendix do not count against the page limit.
- When deciding between submissions with comparable evaluations, priority will be given to those
with higher quality of presentation and whose focus relates more directly to the workshop themes.
- Papers must be submitted electronically at https://submissions.supercomputing.org/
and must follow the IEEE format: www.ieee.org/conferences/publishing/templates.html
================================
Reproducibility Initiative
================================
HiPar20 follows the SC20 reproducibility and transparency initiative.
The SC20 details can be found at: https://sc20.supercomputing.org/submit/transparency-reproducibility-initiat….
HiPar20 requires all submission to include an Artifact Description (AD) Appendix.
Note that the AD will be auto-generated from author responses to a form embedded in the online submission system.
The Artifact Evaluation (AE) remains optional.
We also encourage authors to follow the transparency initiative for two reasons:
(a) it helps the authors themselves with the actual writing and structuring of the paper to express the research process;
(b) it helps readers understand the thinking process used by the authors to plan, obtain and explain their results.
================================
HiPar20 will be virtual
================================
SC20 will be fully virtual: https://sc20.supercomputing.org/2020/07/27/sc20-virtual-event-announced-by-…
Please refer to our website www.hipar.net for latest updates.
================================
Important dates
================================
Submission Deadline: August 31, 2020 (AoE)
Author Notification: September 14, 2020
Camera Ready: October 5, 2020
Final Program: October 9, 2020
Workshop Date: November 11-13, 2020 (details TBD)
================================
Chairs and Committees
================================
Workshop chair:
- Francesco Rizzi NexGen Analytics
Organizing Committee:
- D.S. Hollman Sandia National Labs
- Lee Howes Facebook
- Xiaoye Sherry Li Lawrence Berkeley National Lab
Program Committee Chairs:
- Christian Trott Sandia National Labs
- Filippo Spiga NVIDIA
Program Committee:
- Mark Bull EPCC
- Carlo Cavazzoni CINECA
- Benjamin Cumming CSCS
- Chris Forster NVIDIA
- Marta Garcia Gasulla BSC
- Anja Gerbes Goethe Uni.Frankfurt
- Mark Hoemmen Stellar Science
- Toshiyuki Imamura RIKEN
- Guido Juckeland Helmholtz Center
- Hartmut Kaiser LSU
- Vivek Kale Brookhaven Labs
- Jonathan Lifflander Sandia National Labs
- James Lin Shanghai J.Tong Univ.
- Aram Markosyan Xilinx
- Rui Oliveira INESC TEC
- Philippe Pebay NexGen Analytics
- Zhiqi Tao Intel
- Flavio Vella Univ. of Bozen
- Michèle Weiland EPCC
- Jeremiah Wilke Sandia National Labs
================================
Contact information:
================================
For questions, please email us at: hiparws(a)gmail.com