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Multiple-input multiple-output (MIMO) systems greatly increase the overall throughput of wireless systems since they are capable of transmitting multiple streams employing the same time-frequency resources. However, this gain requires an…

Information Theory · Computer Science 2022-02-15 A. Flores , R. C. de Lamare

Fully provisioned Message Passing Interface (MPI) parallelism achieves near-optimal wall-clock time for Computational Fluid Dynamics (CFD) solvers. This work addresses a complementary question for shared, cloud-managed clusters: can…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-25 Tianfang Xie

Comprehending the performance bottlenecks at the core of the intricate hardware-software interactions exhibited by highly parallel programs on HPC clusters is crucial. This paper sheds light on the issue of automatically asynchronous MPI…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-06 Ayesha Afzal , Georg Hager , Stefano Markidis , Gerhard Wellein

Upcoming HPC clusters will feature hybrid memories and storage devices per compute node. In this work, we propose to use the MPI one-sided communication model and MPI windows as unique interface for programming memory and storage. We…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-10-10 Sergio Rivas-Gomez , Roberto Gioiosa , Ivy Bo Peng , Gokcen Kestor , Sai Narasimhamurthy , Erwin Laure , Stefano Markidis

Multiuser multiple-input multiple-output (MIMO) systems are a prime candidate for use in massive connection density in machine-type communication (MTC) networks. One of the key challenges of MTC networks is to obtain accurate channel state…

Information Theory · Computer Science 2019-04-25 Jiho Song , Byungju Lee , Song Noh , Jong-Ho Lee

The all-to-all collective communications primitive is widely used in machine learning (ML) and high performance computing (HPC) workloads, and optimizing its performance is of interest to both ML and HPC communities. All-to-all is a…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-29 Prithwish Basu , Liangyu Zhao , Jason Fantl , Siddharth Pal , Arvind Krishnamurthy , Joud Khoury

Coded caching leverages the differences in user cache memories to achieve gains that scale with the total cache size, alleviating network congestion due to high-quality content requests. Additionally, distributing transmitters over a wide…

Information Theory · Computer Science 2025-05-05 Kagan Akcay , Eleftherios Lampiris , MohammadJavad Salehi , Giuseppe Caire

Distributed memory programming is the established paradigm used in high-performance computing (HPC) systems, requiring explicit communication between nodes and devices. When FPGAs are deployed in distributed settings, communication is…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-08-07 Tiziano De Matteis , Johannes de Fine Licht , Jakub Beránek , Torsten Hoefler

This paper investigates the hybrid precoding design for millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems with finite-alphabet inputs. The mmWave MIMO system employs partially-connected hybrid precoding architecture…

Information Theory · Computer Science 2019-02-14 Juening Jin , Chengshan Xiao , Wen Chen , Yongpeng Wu

The main challenges in designing downlink coordinated multicast beamforming in massive multiple-input multiple output (MIMO) cellular networks are the complex computational solutions and significant fronthaul overhead for centralized…

Signal Processing · Electrical Eng. & Systems 2025-02-20 Shiqi Yin , Min Dong

Reducing the average memory access time is crucial for improving the performance of applications running on multi-core architectures. With workload consolidation this becomes increasingly challenging due to shared resource contention.…

Hardware Architecture · Computer Science 2021-02-24 Nadja Ramhöj Holtryd , Madhavan Manivannan , Per Stenström , Miquel Pericàs

We investigate the optimal power allocation and optimal precoding for a cluster of two BSs which cooperate to jointly maximize the achievable rate for two users connecting to each BS in a MCP framework. This framework is modeled by a…

Information Theory · Computer Science 2018-09-12 Samah A. M. Ghanem

MPI applications matter. However, with the advent of many-core processors, traditional MPI applications are challenged to achieve satisfactory performance. This is due to the inability of these applications to respond to load imbalances, to…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-20 Jan Ciesko , Pedro J. Martínez-Ferrer , Raúl Peñacoba Veigas , Xavier Teruel , Vicenç Beltran

Massive multi-input multi-output (Massive MIMO) has been recognized as a key technology to meet the demand for higher data capacity and massive connectivity. Nevertheless, the number of active users is restricted due to training overhead…

Information Theory · Computer Science 2018-03-19 Salah Eddine Hajri , Maialen Larrañaga , Mohamad Assaad

Cellular and Broadcast services have been traditionally treated independently due to the different market requirements, thus resulting in different business models and orthogonal frequency allocations. However, with the advent of cheap…

Information Theory · Computer Science 2015-05-01 Symeon Chatzinotas , Dimitrios Christopoulos , Bjorn Ottersten

This paper investigates the performance of MIMO ad hoc networks that employ transmit diversity, as delivered by the Alamouti scheme, and/or spatial multiplexing, according to the Vertical Bell Labs Layered Space-Time system (V-BLAST). Both…

Networking and Internet Architecture · Computer Science 2017-04-11 Fadhil Firyaguna , Ana C. O. Christófaro , Éverton A. L. Andrade , Tiago Bonfim , Marcelo M. Carvalho

An essential step for achieving multiplexing gain in MIMO downlink systems is to collect accurate channel state information (CSI) from the users. Traditionally, CSIs have to be collected before any data can be transmitted. Such a sequential…

Networking and Internet Architecture · Computer Science 2017-06-01 Zhenzhi Qian , Fei Wu , Zizhan Zheng , Kannan Srinivasan , Ness B. Shroff

To improve signal-to-interference ratio (SIR) and make better use of file diversity provided by random caching, we consider two types of linear receivers, i.e., maximal ratio combining (MRC) receiver and partial zero forcing (PZF) receiver,…

Information Theory · Computer Science 2018-01-10 Dongdong Jiang , Ying Cui

We present a simple library which equips MPI implementations with truly asynchronous non-blocking point-to-point operations, and which is independent of the underlying communication infrastructure. It utilizes the MPI profiling interface…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-02-19 Markus Wittmann , Georg Hager , Thomas Zeiser , Gerhard Wellein

We investigate the optimal power allocation and optimal precoding for a multi-cell-processing (MCP) framework with limited cooperation. In particular, we consider two base stations(BSs) which maximize the achievable rate for two users…

Information Theory · Computer Science 2016-01-12 Samah A. M. Ghanem