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Using large-scale multicore systems to get the maximum performance and energy efficiency with manageable programmability is a major challenge. The partitioned global address space (PGAS) programming model enhances programmability by…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-01 Jérémie Lagravière , Johannes Langguth , Mohammed Sourouri , Phuong H. Ha , Xing Cai

Bootstrapping is a powerful statistical resampling technique for estimating the sampling distribution of an estimator. However, its computational cost becomes prohibitive for large datasets or a high number of resamples. This paper presents…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-21 Di Zhang

Business process compliance is a key area of business process management and aims at ensuring that processes obey to compliance constraints such as regulatory constraints or business rules imposed on them. Process compliance can be checked…

Software Engineering · Computer Science 2023-04-18 Stefanie Rinderle-Ma , Karolin Winter , Janik-Vasily Benzin

Heterogeneous clusters with nodes containing one or more accelerators, such as GPUs, have become common. While MPI provides inter-address space communication, and OpenCL provides a process with access to heterogeneous computational…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-09-19 Hyun Dok Cho , Okwan Kwon , Samuel P. Midkiff

Serverless functions provide elastic scaling and a fine-grained billing model, making Function-as-a-Service (FaaS) an attractive programming model. However, for distributed jobs that benefit from large-scale and dynamic parallelism, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-16 Marcin Copik , Roman Böhringer , Alexandru Calotoiu , Torsten Hoefler

Large language model (LLM) merging has become a key technique in modern LLM development pipelines, enabling the integration of multiple task- or domain-specific expert models without retraining. However, as the number of experts grows,…

Databases · Computer Science 2026-02-17 Yuanyi Wang , Yanggan Gu , Zihao Wang , Kunxi Li , Yifan Yang , Zhaoyi Yan , Congkai Xie , Jianmin Wu , Hongxia Yang

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

This system paper documents the technical foundations for the extension of the Topology ToolKit (TTK) to distributed-memory parallelism with the Message Passing Interface (MPI). While several recent papers introduced topology-based…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-16 Eve Le Guillou , Michael Will , Pierre Guillou , Jonas Lukasczyk , Pierre Fortin , Christoph Garth , Julien Tierny

Two parties with private data sets can find shared elements using a Private Set Intersection (PSI) protocol without revealing any information beyond the intersection. Circuit PSI protocols privately compute an arbitrary function of the…

Modern interconnects offer remote direct memory access (RDMA) features. Yet, most applications rely on explicit message passing for communications albeit their unwanted overheads. The MPI-3.0 standard defines a programming interface for…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-01 Robert Gerstenberger , Maciej Besta , Torsten Hoefler

We discuss the use of both MPI and OpenMP in the teaching of senior undergraduate and junior graduate classes in parallel programming. We briefly introduce the OpenMP standard and discuss why we have chosen to use it in parallel programming…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Yi Pan

Modern GPU systems are constantly evolving to meet the needs of computing-intensive applications in scientific and machine learning domains. However, there is typically a gap between the hardware capacity and the achievable application…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-02 Gabin Schieffer , Ruimin Shi , Stefano Markidis , Andreas Herten , Jennifer Faj , Ivy Peng

The increasing number of processing elements and decreas- ing memory to core ratio in modern high-performance platforms makes efficient strong scaling a key requirement for numerical algorithms. In order to achieve efficient scalability on…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-01-14 Michael Lange , Gerard Gorman , Michele Weiland , Lawrence Mitchell , James Southern

We present Matrix Distributed Processing, a C++ library for fast development of efficient parallel algorithms. MDP is based on MPI and consists of a collection of C++ classes and functions such as lattice, site and field. Once an algorithm…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Massimo Di Pierro

Supercomputer architectures are trending toward higher computational throughput due to the inclusion of heterogeneous compute nodes. These multi-GPU nodes increase on-node computational efficiency, while also increasing the amount of data…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-09-14 Shelby Lockhart , Amanda Bienz , William D. Gropp , Luke N. Olson

There is new momentum behind an interoperable ABI for MPI, which will be a major component of MPI-5. This capability brings true separation of concerns to a running MPI computation. The linking and compilation of an MPI application becomes…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-17 Yao Xu , Grace Nansamba , Anthony Skjellum , Gene Cooperman

Quality managers, change agents and researchers are often troubled in defining and demonstrating the level of success achieved in software process improvement (SPI) initiatives. So far, there exist only few frameworks for identifying the…

Software Engineering · Computer Science 2013-09-19 Pekka Abrahamsson

MPI+X has been the de facto standard for distributed memory parallel programming. It is widely used primarily as an explicit two-sided communication model, which often leads to complex and error-prone code. Alternatively, PGAS model…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-05 Baodi Shan , Mauricio Araya-Polo , Barbara Chapman

Massive, multi-language, monolithic repositories form the backbone of many modern, complex software systems. To ensure consistent code quality while still allowing fast development cycles, Continuous Integration (CI) is commonly applied.…

Software Engineering · Computer Science 2025-01-22 Daniel Schwendner , Maximilian Jungwirth , Martin Gruber , Martin Knoche , Daniel Merget , Gordon Fraser

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
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