In this paper we deal with the problem of monitoring network latency. Indeed, latency is a key network metric related to both network performance and Quality of Service, since it directly impacts on the overall user&#...
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ISBN:
(纸本)9798400706486
In this paper we deal with the problem of monitoring network latency. Indeed, latency is a key network metric related to both network performance and Quality of Service, since it directly impacts on the overall user's experience. High latency leads to unacceptably slow response times of network services, and may increase network congestion and reduce the throughput, in turn disrupting communications and the user's experience. A common approach to monitoring network latency takes into account the frequently skewed distribution of latency values, and therefore specific quantiles are monitored, such as the 95th, 98th, and 99th percentiles. We present a parallel, message-passing based version of the FRUGAL algorithm that can be used for monitoring network latency quickly and accurately. A distributed version is also discussed.
The proceedings contain 3 papers. The topics discussed include: a design framework for the simulation of distributed quantum computing;quantum mini-apps: a framework for developing and benchmarking quantum-HPC applica...
ISBN:
(纸本)9798400706431
The proceedings contain 3 papers. The topics discussed include: a design framework for the simulation of distributed quantum computing;quantum mini-apps: a framework for developing and benchmarking quantum-HPC applications;and demystifying HPC-quantum integration: it’s all about scheduling.
The proceedings contain 3 papers. The topics discussed include: analysis and evaluation of load management strategies in a decentralized FaaS environment: a simulation-based framework;live migration of multi-container...
ISBN:
(纸本)9798400706479
The proceedings contain 3 papers. The topics discussed include: analysis and evaluation of load management strategies in a decentralized FaaS environment: a simulation-based framework;live migration of multi-container Kubernetes pods in multi-cluster serverless edge systems;and comparing actor-critic and neuroevolution approaches for traffic offloading in FaaS-powered edge systems.
High-bandwidth storage tiers are becoming more common for their capability to absorb high-rate, bursty I/Os. Notably, the designs of these fast storage tiers differ from system to system. The variation of these layers...
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ISBN:
(纸本)9798400706486
High-bandwidth storage tiers are becoming more common for their capability to absorb high-rate, bursty I/Os. Notably, the designs of these fast storage tiers differ from system to system. The variation of these layers and non-uniform methods of access can pose challenges for applications seeking to run at multiple HPC facilities. Therefore, in this work, we present Spectral, a rapid-output abstraction library to accelerate application, bulk-synchronous writes on HPC systems. We design Spectral to enable applications to use high-bandwidth storage, such as node-local storage and distributed, write-caches (e.g., burst buffers) transparently without requiring modifications to the application or file system source code. The key idea is to allow applications to spend most of the time performing productive work and to not require any source code changes for maximum portability on different HPC architectures. Spectral internally re-routes write-only files through available, high-performance I/O resources before ultimately migrating them to the shared global parallel file system. For instance, on Summit, Spectral transparently places application outputs on node-local storage and then utilizes asynchronous migration to the center-wide GPFS file system. We evaluate Spectral on the Summit HPC system (1024 nodes) using the IOR benchmark and real scientific applications. Spectral shows linear performance scaling, improving application write performance by over an order of magnitude when compared to GPFS.
The proceedings contain 12 papers. The special focus in this conference is on Job Scheduling Strategies for parallel Processing. The topics include: Optimization of Execution Parameters of Moldable Ultrasoun...
ISBN:
(纸本)9783031226977
The proceedings contain 12 papers. The special focus in this conference is on Job Scheduling Strategies for parallel Processing. The topics include: Optimization of Execution Parameters of Moldable Ultrasound Workflows Under Incomplete Performance Data;Scheduling of Elastic Message Passing Applications on HPC Systems;preface;on the Feasibility of simulation-Driven Portfolio Scheduling for Cyberinfrastructure Runtime Systems;Improving Accuracy of Walltime Estimates in PBS Professional Using Soft Walltimes;re-making the Movie-Making Machine;using Kubernetes in Academic Environment: Problems and Approaches;AI-Job Scheduling on Systems with Renewable Power Sources;Toward Building a Digital Twin of Job Scheduling and Power Management on an HPC System;encoding for Reinforcement Learning Driven Scheduling.
The proceedings contain 18 papers. The topics discussed include: OpenCL command-buffer extension: design and implementation;combined scientific CFD simulation and interactive raytracing with OpenCL;towards a portable ...
ISBN:
(纸本)9781450396585
The proceedings contain 18 papers. The topics discussed include: OpenCL command-buffer extension: design and implementation;combined scientific CFD simulation and interactive raytracing with OpenCL;towards a portable drug discovery pipeline with SYCL 2020;on the compilation performance of current SYCL implementations;celerity: how (well) does the SYCL API translate to distributed clusters?;untangling modern parallel programming models;interfacing SYCL and Python for XPU programming;exploring the possibility of a hipSYCL-based implementation of OneAPI;performance analysis of matrix-free conjugate gradient kernels using SYCL;and experiences porting NAMD to the data parallel C++ programming model.
The photovoltaics (PVs) develops rapidly since the demand for energy and emission reduction. With the access of PVs in distribution networks (DNs), the uncertainty of the photovoltaics generation (PVG) intensifies the...
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A viable approach for building large-scale quantum computers is to interlink small-scale quantum computers with a quantum network to create a larger distributed quantum computer. When designing quantum algorithms for ...
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ISBN:
(纸本)9781728186740
A viable approach for building large-scale quantum computers is to interlink small-scale quantum computers with a quantum network to create a larger distributed quantum computer. When designing quantum algorithms for such a distributed quantum computer, one can make use of the added parallelization and distribution abilities inherent in the system. An added difficulty to then overcome for distributed quantum computing is that a complex control system to orchestrate the various components is required. In this work, we aim to address these issues. We explicitly define what it means for a quantum algorithm to be distributed and then present various quantum algorithms that fit the definition. We discuss potential benefits and propose a high-level scheme for controlling the system. With this, we present our software framework called Interlin-q, a simulation platform that aims to simplify designing and verifying parallel and distributed quantum algorithms. We demonstrate Interlin-q by implementing some of the discussed algorithms using Interlin-q and layout future steps for developing Interlin-q into a control system for distributed quantum computers.
Current approaches in parallel processing of requests used in modern distributed information systems are considered. The multilevel scheme of balancing the resources of the infrastructure of the distributed informatio...
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Scientific parallel applications often use MPI for inter-node communications and OpenMP for intra-node orches-tration. parallel applications such as particle transport, seismic wave propagation simulator, or Finite-El...
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