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Despite the numerous uses of semidefinite programming (SDP) and its universal solvability via interior point methods (IPMs), it is rarely applied to practical large-scale problems. This mainly owes to the computational cost of IPMs that…

Optimization and Control · Mathematics 2024-03-19 Yifan Ran , Stefan Vlaski , Wei Dai

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

With the increasing number of Quad-Core-based clusters and the introduction of compute nodes designed with large memory capacity shared by multiple cores, new problems related to scalability arise. In this paper, we analyze the overall…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-08-17 Abdelgadir Tageldin Abdelgadir , Al-Sakib Khan Pathan , Mohiuddin Ahmed

Elastic computing enables dynamic scaling to meet workload demands, and Remote Direct Memory Access (RDMA) enhances this by providing high-throughput, low-latency network communication. However, integrating RDMA into elastic computing…

Networking and Internet Architecture · Computer Science 2025-02-03 Junxue Zhang , Han Tian , Xinyang Huang , Wenxue Li , Kaiqiang Xu , Dian Shen , Yong Wang , Kai Chen

Dynamic resource management is essential for optimizing computational efficiency in modern high-performance computing (HPC) environments, particularly as systems scale. While research has demonstrated the benefits of malleability in…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-18 Sergio Iserte , Iker Martín-Álvarez , Krzysztof Rojek , José I. Aliaga , Maribel Castillo , Weronika Folwarska , Antonio J. Peña

Many modern and emerging applications must process increasingly large volumes of data. Unfortunately, prevalent computing paradigms are not designed to efficiently handle such large-scale data: the energy and performance costs to move this…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-07-31 Saugata Ghose , Amirali Boroumand , Jeremie S. Kim , Juan Gómez-Luna , Onur Mutlu

In this work, we study two-party interactive coding for adversarial noise, when both parties have limited memory. We show how to convert any adaptive protocol $\Pi$ into a protocol $\Pi'$ that is robust to an $\epsilon$-fraction of…

Information Theory · Computer Science 2024-08-14 Dorsa Fathollahi , Bernhard Haeupler , Nicolas Resch , Mary Wootters

Emerging computing architectures such as near-memory computing (NMC) promise improved performance for applications by reducing the data movement between CPU and memory. However, detecting such applications is not a trivial task. In this…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-04-19 Stefano Corda , Gagandeep Singh , Ahsan Javed Awan , Roel Jordans , Henk Corporaal

Undoubtedly faster, larger and lower power per bit, but just how do you go about interfacing a DDR3 SDRAM DIMM to an FPGA? The DDR3 standard addresses the faster, more bandwidth and lower power per bit need, but it introduces new design…

Hardware Architecture · Computer Science 2022-04-12 Phil Murray , Feras Al-Hawari

Nowadays, avoiding system calls during cluster communication (e.g., in Data Centers and High Performance Computing) in modern high-speed interconnection networks has become a necessity, due to the high overhead of multiple data copies…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-27 Antonis Psistakis

Memory disaggregation over RDMA can improve the performance of memory-constrained applications by replacing disk swapping with remote memory accesses. However, state-of-the-art memory disaggregation solutions still use data path components…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-20 Hasan Al Maruf , Mosharaf Chowdhury

We can use a hybrid memory system consisting of DRAM and Intel Optane DC Persistent Memory (We call it DCPM in this paper) as DCPM is now commercially available since April 2019. Even if the latency for DCPM is several times higher than…

Performance · Computer Science 2020-08-31 Kazuichi Oe

We present an experimental investigation of the performance of MPI derived datatypes. For messages up to the megabyte range most schemes perform comparably to each other and to manual copying into a regular send buffer. However, for large…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-10-01 Victor Eijkhout

Nowadays, IEEE 802.11, i.e., Wi-Fi has emerged as a prevailing technology for broadband wireless networking. To meet the tremendous rise of demand for future generation wireless LANs, a robust and efficient MAC protocol is required for the…

Networking and Internet Architecture · Computer Science 2023-04-04 Gazi Zahirul Islam

We present and analyze a new robust feedback and transmit strategy for multiuser MIMO downlink communication systems, termed Rate Approximation (RA). RA combines the flexibility and robustness needed for reliable communications with the…

Information Theory · Computer Science 2013-01-10 Gerhard Wunder , Jan Schreck , Peter Jung

Message Passing Interface (MPI) is widely used to implement parallel programs. Although Windowsbased architectures provide the facilities of parallel execution and multi-threading, little attention has been focused on using MPI on these…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-05-31 Alaa Ismail Elnashar

Over the past two decades, C++ has been adopted as a major HPC language (displacing C to a large extent, andFortran to some degree as well). Idiomatic C++ is clearly how C++ is being used nowadays. But, MPIs syntax and semantics defined and…

Programming Languages · Computer Science 2021-07-23 Martin Ruefenacht , Derek Schafer , Anthony Skjellum , Purushotham V. Bangalore

Sparse code multiple access (SCMA) is a promising technique for future machine type communication systems due to its superior spectral efficiency and capability for supporting massive connectivity. This paper proposes a novel class of…

Information Theory · Computer Science 2025-01-29 Haibo Liu , Qu Luo , Zilong Liu , Shan Luo , Pei Xiao , Xiaojun Yuan

With the growing constraints on power budget and increasing hardware failure rates, the operation of future exascale systems faces several challenges. Towards this, resource awareness and adaptivity by enabling malleable jobs has been…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-21 Mohak Chadha , Jophin John , Michael Gerndt

In this paper we explore the performance of Intel Xeon MAX CPU Series, representing the most significant new variation upon the classical CPU architecture since the Intel Xeon Phi Processor. Given the availability of a large on-package…

Performance · Computer Science 2023-09-19 Istvan Z Reguly
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