Conferences  >  Informatics  >  High Performance Computing, Supercomputing, Parallel Computing

PPoPP is the premier forum for leading work on all aspects of parallel programming, including theoretical foundations, techniques, languages, compilers, runtime systems, tools, and practical experience. In the context of the symposium, “parallel programming” encompasses work on concurrent and parallel systems (multicore, multi-threaded, heterogeneous, clustered, and distributed systems; grids; datacenters; clouds; and large-scale machines). Given the rise of parallel architectures in the consumer market (desktops, laptops, and mobile devices) and data centers, PPoPP is particularly interested in work that addresses new parallel workloads and issues that arise out of extreme-scale applications or cloud platforms, as well as techniques and tools that improve the productivity of parallel programming or work towards improved synergy with such emerging architectures

Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy

Software Engineering,    Events for IT Students and Early Career Researchers

The South Asia Institute of Science and Engineering

2024 8th High Performance Computing and Cluster Technologies Conference will be held in Beijing, China during July 5-7, 2024. HPCCT 2024 is co-sponsored by North China University of Technology, China and Xi’an Jiaotong-liverpool University, China. It provides a platform for academic exchange and showcasing achievements in the field of high performance computing and cluster technologies, delivering an academic feast for local and international experts and scholars.

Ms. Katharine Shui;     Email: brandon@saise.org

Parallel and distributed system architectures; Languages and compilers for high performance computing; Embedded systems; Peer-to-peer computing; Grid and cluster computing; Web services and Internet computing; Cloud computing; Utility computing; Performance evaluation and measurement;

Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy

Condensed Matter Physics and Materials,    Scientific Computing and Data Science

CEA, Alternative Energies and Atomic Energy Commission

In addition to promoting the advances in the traditional topics of the conference, encompassing super-computing for nuclear applications and Monte Carlo simulation, SNA + MC2024 will also emphasize novel subjects with strong scientific, technological and societal stakes: the recent breakthroughs in High Performance Computing, environmental issues and energy transition.

Nuclear Energy,    Scientific Computing and Data Science

USENIX Association

SREcon24 Europe/Middle East/Africa is a gathering of engineers who care deeply about site reliability, systems engineering, and working with complex distributed systems at scale. SREcon strives to challenge both those new to the profession as well as those who have been involved in it for decades. The conference has a culture of critical thought, deep technical insights, continuous improvement, and innovation.

Software Engineering,    Algorithms and Data Structures

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

In modern computational systems, the need to handle large-scale inputs imposes interesting computational challenges. Two such challenges are (1) the need to distribute the computation over multiple units, and (2) the dynamic nature of the input, which may undergo changes over time. A particular class of problems studied in these settings is when the input to the computational task is a huge graph. The field of dynamic graph algorithms addresses efficiently processing edge/vertex insertions/deletions in the input graph. In distributed graph algorithms, the input resides across multiple machines, and the goal is to solve the problem while minimizing the number of rounds of communication. Both of these rich research areas have been extensively studied since at least the 1980’s. We know of efficient algorithms for a large variety of tasks, such as shortest paths problems, coloring, subgraph finding, symmetry breaking, approximations, and many more. However, there are still fundamental problems with no known efficient solutions in some of these models, and even more where the exact complexity of computation is yet to be determined. In the recent years, a number of influential works show how transferring ideas from one of these models to the other provides progress on some of the long-lasting open problems. The goal of this Dagstuhl Seminar is to build a bridge between the two research communities of dynamic graph algorithms and distributed computing, by working together on joint research frontiers.

Distributed, Edge and Cloud Computing,    Scientific Computing and Data Science

USENIX Association

SREcon is a gathering of engineers who care deeply about site reliability, systems engineering, and working with complex distributed systems at scale. Our purpose is to be inclusive as we bring together ideas representative of our diverse community, whether its members are focusing on a global scale, launching new products and ideas for a small business, or pivoting their approach to unite software and systems engineering. SREcon challenges both those new to the profession as well as those who have been involved in it for decades. The conference has a culture of critical thought, deep technical insights, continuous improvement, and innovation.

Software Engineering,    Algorithms and Data Structures