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Irregular communication often limits both the performance and scalability of parallel applications. Typically, applications individually implement irregular messages using point-to-point communications, and any optimizations are added…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-06 Gerald Collom , Rui Peng Li , Amanda Bienz

Clusters of SMP nodes provide support for a wide diversity of parallel programming paradigms. Combining both shared memory and message passing parallelizations within the same application, the hybrid MPI-OpenMP paradigm is an emerging trend…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-11-13 Truong Vinh Truong Duy , Katsuhiro Yamazaki , Kosai Ikegami , Shigeru Oyanagi

Given an array $\mathcal{A}$ of $n$ elements and a value $2 \leq k \leq n$, a frequent item or $k$-majority element is an element occurring in $\mathcal{A}$ more than $n/k$ times. The $k$-majority problem requires finding all of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-01-12 Massimo Cafaro , Marco Pulimeno , Italo Epicoco , Giovanni Aloisio

This paper considers multiple-input multiple-output (MIMO) relay communication in multi-cellular (interference) systems in which MIMO source-destination pairs communicate simultaneously. It is assumed that due to severe attenuation and/or…

Information Theory · Computer Science 2017-03-28 Muhammad R A Khandaker , Kai-Kit Wong

Parallel I/O refers to the ability of scientific programs to concurrently read/write from/to a single file from multiple processes executing on distributed memory platforms like compute clusters. In the HPC world, I/O becomes a significant…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-15 Muhammad Sohaib Ayub , Muhammad Adnan , Muhammad Yasir Shafi

Message aggregation is often used with a goal to reduce communication cost in HPC applications. The difference in the order of overhead of sending a message and cost of per byte transferred motivates the need for message aggregation, for…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-07 Kavitha Chandrasekar , Laxmikant Kale

We present a simple hierarchical communication scheme for distributed Fast Multipole Methods (FMMs) based on MPI neighborhood collectives and uniform trees. The method targets the common case of extending an existing high-performance…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-01 Srinath Kailasa

Traditional parallel schedulers running on cluster supercomputers support only static scheduling, where the number of processors allocated to an application remains fixed throughout the execution of the job. This results in…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-06-15 Rajesh Sudarsan , Calvin J. Ribbens

The problem of minimizing the total power consumption while satisfying different quality-of-service (QoS) requirements in a two-hop multiple-input multiple-output network with a single non-regenerative relay is considered. As shown by Y.…

Information Theory · Computer Science 2013-03-13 Luca Sanguinetti , Antonio A. D'Amico

The efficient parallel execution of complex computations requires balancing the workload across processors while minimizing the communication between them. This inherent trade-off is often captured by graph partitioning or DAG scheduling…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-04 Pál András Papp , Toni Böhnlein , A. N. Yzelman

GPU-enhanced architectures are now dominant in HPC systems, but message-passing communication involving GPUs with MPI has proven to be both complex and expensive, motivating new approaches that lower such costs. We compare and contrast…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-01 Patrick G. Bridges , Anthony Skjellum , Evan D. Suggs , Derek Schafer , Purushotham V. Bangalore

With the widespread use of Internet of Things (IoT) devices and the arrival of the 5G era, edge computing has become an attractive paradigm to serve end-users and provide better QoS. Many efforts have been done to provision some merging…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-09-17 Siyuan Gu , Deke Guo , Guoming Tang , Lailong Luo , Yuchen Sun , Xueshan Luo

Modern heterogeneous supercomputing systems are comprised of CPUs, GPUs, and high-speed network interconnects. Communication libraries supporting efficient data transfers involving memory buffers from the GPU memory typically require the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-29 Naveen Namashivayam , Krishna Kandalla , James B White , Larry Kaplan , Mark Pagel

This paper presents performance results comparing MPI-based implementations of the popular Conjugate Gradient (CG) method and several of its communication hiding (or 'pipelined') variants. Pipelined CG methods are designed to efficiently…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-17 Siegfried Cools , Jeffrey Cornelis , Pieter Ghysels , Wim Vanroose

Performance of distributed data center applications can be improved through use of FPGA-based SmartNICs, which provide additional functionality and enable higher bandwidth communication. Until lately, however, the lack of a simple approach…

Cryptography and Security · Computer Science 2022-04-12 Rushi Patel , Pouya Haghi , Shweta Jain , Andriy Kot , Venkata Krishnan , Mayank Varia , Martin Herbordt

Multicore is an integrated circuit chip that uses two or more computational engines (cores) places in a single processor. This new approach is used to split the computational work of a threaded application and spread it over multiple…

Operating Systems · Computer Science 2019-10-03 Reza Fotohi , Mehdi Effatparvar , Fateme Sarkohaki , Shahram Behzad , Jaber Hoseini balov

The Adapteva Epiphany many-core architecture comprises a 2D tiled mesh Network-on-Chip (NoC) of low-power RISC cores with minimal uncore functionality. It offers high computational energy efficiency for both integer and floating point…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-06-18 James A. Ross , David A. Richie , Song J. Park , Dale R. Shires

Message logging protocols are enablers of local rollback, a more efficient alternative to global rollback, for fault tolerant MPI applications. Until now, message logging MPI implementations have incurred the overheads of a redesign and…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-09 Kiril Dichev , Dimitrios S. Nikolopoulos

In 2013 Intel introduced the Xeon Phi, a new parallel co-processor board. The Xeon Phi is a cache-coherent many-core shared memory architecture claiming CPU-like versatility, programmability, high performance, and power efficiency. The…

Performance · Computer Science 2014-11-10 S. Ali Mirsoleimani , Aske Plaat , Jos Vermaseren , Jaap van den Herik

The applications being developed within the U.S. Exascale Computing Project (ECP) to run on imminent Exascale computers will generate scientific results with unprecedented fidelity and record turn-around time. Many of these codes are based…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-08-04 Lipeng Wan , Axel Huebl , Junmin Gu , Franz Poeschel , Ana Gainaru , Ruonan Wang , Jieyang Chen , Xin Liang , Dmitry Ganyushin , Todd Munson , Ian Foster , Jean-Luc Vay , Norbert Podhorszki , Kesheng Wu , Scott Klasky
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