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29th IEEE International Conference on High Performance Computing, Data, and Analytics

29th IEEE International Conference on High Performance Computing, Data, and Analytics

Bengaluru , India

Submission Deadline: Monday 04 Jul 2022

Conference Dates: Dec 18, 2022 - Dec 21, 2022

Research
Impact Score 5.30

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 5.30
Contributing Best Scientists: 293
H5-index:
Papers published by Best Scientists 348
Research Ranking (Computer Science) 77
Research Ranking (Electronics and Electrical Engineering) 404

Conference Call for Papers

High Performance Computing

Topics for papers include, but are not limited to the topics given under the categories below.



Algorithms. This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to):

New parallel and distributed algorithms and design techniques;
Advances in enhancing algorithmic properties or providing guarantees (e.g., concurrency, data locality, communication-avoiding, asynchronous, hybrid CPU-GPU algorithms, fault tolerance, resilience);
Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management);
Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology);
Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models).

Architecture. This track invites papers that describe original research on the design and evaluation of high performance computing architectures, and related advances. Examples of topics of interest include (but not limited to):

High performance processing architectures (e.g., reconfigurable, system-on-chip, many cores, vector processors);
Networks for high performance computing platforms (e.g., interconnect topologies, network-on-chip);
Memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O);
Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy);
Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures).


Applications. This track invites papers that describe original research on the design and implementation of scalable and high performance applications for execution on parallel, distributed and accelerated platforms, and related advances. Examples of topics of interest include (but not limited to):

Shared and distributed memory parallel applications (e.g., scientific computing, simulation and visualization applications, graph and irregular applications, data-intensive applications, science/engineering/industry applications, emerging applications in IoT and life sciences, etc.);
Methods, algorithms, and optimizations for scaling applications on peta- and exa-scale platforms (e.g., co-design of hardware and software, heterogeneous and hybrid programming);
Hardware acceleration of parallel applications (e.g., GPUs, FPGA, vector processors, manycore);
Application benchmarks and workloads for parallel and distributed platforms.


Systems Software. This track invites papers that describe original research on the design, implementation, and evaluation of systems software for high performance computing platforms, and related advances. Examples of topics of interest include (but not limited to):

Scalable systems and software architectures for high-performance computing (e.g., middleware, operating systems, I/O services);
Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling);
Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging);
Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance;
Software for cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing);
Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms).



Scalable Data Science

Topics for papers include, but are not limited to the topics given under the categories below.



Scalable Algorithms and Analytics. This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to):

New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, data (pre-)processing and pattern discovery);
Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams);
Scalable algorithms and techniques to reduce the complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics);
Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture);
Scalable algorithms that ensure the transparency and fairness of the analysis;
Case studies, experimental studies, and benchmarks for scalable algorithms and analytics;
Scaling and accelerating machine learning, deep learning, and computer vision applications.

Scalable Systems and Software. This track invites papers that describe original research on developing scalable systems and software for handling data at scale and related advances. Examples of topics of interest include (but not limited to):

New parallel and distributed algorithms and design techniques;
Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications)
Scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs);
Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop);
Systems software for distributed data frameworks (e.g., distributed file system, data deduplication, virtualization, cloud services, resource optimization, scheduling);
Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy-preserving, and secure schemes).

Overview

Top Research Topics at IEEE International Conference on High Performance Computing, Data, and Analytics?

  • Parallel computing (28.67%)
  • Distributed computing (18.75%)
  • Supercomputer (13.21%)

Parallel computing, Distributed computing, Supercomputer, Scalability and Operating system are among the topics commonly tackled in the conference. In it, Computation, Compiler and Computational science are investigated in conjunction with one another to address concerns in Parallel computing research. The event addresses concerns in Distributed computing which are intertwined with other disciplines, such as Grid, Scheduling (computing), Computer network and Cloud computing.

The conference is mostly focused on Grid, specifically Grid computing. The event focused on Parallel algorithm research conducted under the discipline of Algorithm.

What are the most cited papers published at the conference?

  • The Anatomy of the Grid: Enabling Scalable Virtual Organizations (6511 citations)
  • Globus: a Metacomputing Infrastructure Toolkit (3093 citations)
  • The Nas Parallel Benchmarks (2050 citations)

Research areas of the most cited articles at IEEE International Conference on High Performance Computing, Data, and Analytics:

The conference articles focus on Parallel computing, Distributed computing, Supercomputer, Scalability and Operating system. The most cited publications link adjacent topics like Parallel computing with Computational science. The most cited publications facilitate discussions on Distributed computing that incorporate concepts from other fields like Grid, Scheduling (computing), Computer network and Cloud computing.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Research.com

The top authors publishing at IEEE International Conference on High Performance Computing, Data, and Analytics (based on the number of publications) are:

  • Jack Dongarra (61 papers) published 8 papers at the last edition, 5 less than at the previous edition,
  • Laxmikant V. Kale (37 papers) published 3 papers at the last edition,
  • Martin Schulz (37 papers) published 7 papers at the last edition the same number as at the previous edition,
  • Bormin Huang (30 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • William Gropp (25 papers) published 2 papers at the last edition, 1 more than at the previous edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at IEEE International Conference on High Performance Computing, Data, and Analytics (based on the number of publications) are:

  • Argonne National Laboratory (185 papers) published 11 papers at the last edition, 8 less than at the previous edition,
  • IBM (142 papers) published 17 papers at the last edition, 1 less than at the previous edition,
  • Oak Ridge National Laboratory (139 papers) published 15 papers at the last edition, 1 less than at the previous edition,
  • Lawrence Berkeley National Laboratory (134 papers) published 16 papers at the last edition, 8 more than at the previous edition,
  • Lawrence Livermore National Laboratory (131 papers) published 17 papers at the last edition, 1 more than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Research.com

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

Research.com

During the most recent 2016 edition, 9.88% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.12% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.62% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.84% of all publications and 52.41% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Research.com

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

Research.com

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

Other Conferences in India

19th Asia Pacific Conference on Circuits and Systems

Nov 20, 2023 - Nov 23, 2023

Hyderabad , India, India

Deadline: Sunday 04 Jun 2023

7th IEEE International Test Conference

Jul 23, 2023 - Jul 25, 2023

Bengaluru , India, India

Deadline: Monday 06 Feb 2023

international Symposium on Cluster, Cloud and Internet Computing

May 01, 2023 - May 04, 2023

Bangalore , India, India

Deadline: Friday 09 Dec 2022

Previous Editions

HiPC 2021 : International Conference on High Performance Computing

Dec 17, 2021 - Dec 17, 2021

Bangalore , India, India

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