scholarly journals Sosialisasi Implementasi Prototype Portal Manajemen Sumber Daya High Performance Computing (HPC): Simulasi Dinamika Molekular

Charity ◽  
2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Heru Suhartanto ◽  
Arry Yanuar ◽  
Ari Wibisono ◽  
Yohanes Gultom
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Memory Storage ◽  
Storage Service ◽  
Elastic Computing ◽  
Microsoft Azure ◽  
Amazon Ec2 ◽  
Performance Computing ◽  
Hpc Cloud

Masalah pertama yang dihadapi terkait kegiatan ini adalah Penggunaan sumber daya High Performance Computing (HPC) membutuhkan fasilitas superkomputer yang sangat mahal, baik pengadaan maupun perawatannya. Sehingga fasilitas HPC tersebut hanya dimiliki institusi tertentu yang memiliki sumber pendanaan cukup besar. Terutama di Indonesia, mungkin hanya segelintir lembaga pendidikan dan penelitian yang mampu memilikinya. Hal ini mengakibatkan, pemanfaatan HPC untuk penelitian menjadi terbatas, karena sangat sedikit sekali aktivitas penelitian yang memiliki akses ke fasilitas HPC tertentu. Sehingga hal ini menjadi suatu hambatan tersendiri, terutama untuk kasus penelitian yang menuntut sumber daya komputasi besar. Masalah kedua yakni para peneliti yang umumnya berasal dari berbagai macam disiplin ilmu pengetahuan sering tidak memiliki kemampuan tentang bagaimana menggunakan infrastruktur HPC tersebut. Umumnya, pengguna HPC cloud akan diberikan beberapa server virtual, kemudian server virtual tersebut harus disiapkan secara mandiri sesuai kebutuhan aplikasinya. Setup tersebut berkaitan dengan instalasi Sistem operasi, midleware, aplikasi, serta beberapa konfigurasi yang tidak sederhana. (Rajan et all, 2011) Sehingga, peneliti tersebut harus bertambah pekerjaan dan waktu tambahan untuk mempelajari suatu kemampuan lain yang cukup rumit di luar esensi penelitian itu sendiri agar mampu menggunakan cloud IAAS tersebut Untuk mengatasi masalah masalah pertama tersebut, muncul satu alternatif solusi, yaitu dengan penggunaan layanan cloud Infrastruktur-as-a-Service (IAAS), di mana layanan cloud tersebut menyediakan infrastruktur HPC. Layanan infrastruktur tersebut meliputi prosesor, memory, storage, jaringan internet, listrik serta perawatan. Saat ini banyak bermunculan vendor IAAS, seperti Amazon EC2 (Elastic Computing Cloud for Computing Service), S3 (Simple Storage Service), Microsoft Azure (PAAS), Google AppEngine, dan lainnya. Penulis telah mengembangkan prototype portal Sumber Daya HPC untuk simulasi dinamika molekuler sebagai output dari kegiatan penelitian beberapa tahun belakangan ini. Dalam kegiatan ini, dilakukan ujicoba implementasi prototype tersebut kepada usernya yakni para peneliti baik dosen dan mahasiswa. Sosialisasi pengenalan dan ujicoba prototype tersebut telah dilakukan kepada beberapa rekan dosen, peneliti dan mahasiswa di Universitas Padjajadan dan Institute Teknologi Bandung. Berdasarkan hasil kuesioner kegiatan sosialisasi ini, seluruh peserta merasa puas dengan kegiatan sosialisasi ini dan menganggap prototype tersebut dapat membantu memperbaiki kondisi mereka. Sistem yang diperkenalkan ini juga dianggap sesuai oleh seluruh peserta untuk mengangkat potensi bidang mereka (farmasi/kimia). Sebagian besar peserta juga merasa puas dengan acara yang diselenggarakan ini dan merasa cukup mampu untuk memanfaatkan sistem ini secara mandiri tanpa bantuan/pendampingan dari tim UI.

HPC cloud services based on the Proxmox VE platform

2019 ◽  
Author(s):  
А.В. Баранов ◽  
Е.А. Киселёв
Keyword(s):  
High Performance Computing ◽  
Management System ◽  
High Performance ◽  
Virtual Machines ◽  
Cloud Services ◽  
Job Management ◽  
Job Management System ◽  
High Level ◽  
Performance Computing ◽  
Hpc Cloud

Организация облачных сервисов для высокопроизводительных вычислений затруднена, во-первых, по причине высоких накладных расходов на виртуализацию, во-вторых, из-за специфики систем управления заданиями и ресурсами в научных суперкомпьютерных центрах. В настоящей работе рассмотрен подход к построению облачных сервисов видов PaaS и SaaS, основанных на совместном функционировании облачной платформы Proxmox VE и системы управления прохождением параллельных заданий, применяемой в качестве менеджера ресурсов в Межведомственном суперкомпьютерном центре РАН. Purpose. The purpose of this paper is to develop methods and technologies for building high-performance computing cloud services in scientific supercomputer centers. Methodology.To build a cloud environment for high-performance scientific calculations (HPC), the corresponding three-level model and the method of combining flows of supercomputer tasks of various types were applied. Results.A high-level HPC cloud services technology based on the free Proxmox VE software platform has been developed. The Proxmox VE platform has been integrated with the domestic supercomputer job management system called SUPPZ. Experimental estimates of the overheads introduced in the high-performance computing process by the Proxmox components are obtained. Findings.An approach to the integration a supercomputer job management system and a virtualization platform is proposed. The presented approach is based on the representation of the supercomputer jobs as virtual machines or containers. Using the Proxmox VE platform as an example, the influence of a virtual environment on the execution time of parallel programs is investigated experimentally. The possibility of applying the proposed approach to building cloud services of the PaaS and SaaS type in scientific supercomputing centers of collective use is substantiated for a class of applications for which the overhead costs introduced by the Proxmox components are acceptable.

scholarly journals Orquestração de Aplicações de Computação de Alta Performance em Ambientes Cloud Conteinerizados

2021 ◽  
Author(s):  
Lucas Varella ◽  
Patricia Plentz ◽  
Hugo Watanuki ◽  
Artur Baruchi
Keyword(s):  
Web Service ◽  
High Performance Computing ◽  
High Performance ◽  
Microsoft Azure ◽  
High Performance Computing Cluster ◽  
Performance Computing ◽  
Hpcc Systems ◽  
Computing Cluster

Este trabalho explora a orquestração da plataforma HPCC Systems (High Performance Computing Cluster) em ambientes cloud conteinerizados, com a ferramenta de orquestração Kubernetes. O objetivo do trabalho é avaliar as características, benefícios e desafios da implantação da plataforma HPCC Systems nesse paradigma através de diferentes provedores de cloud pública, especificamente Amazon Web Service (AWS) e Microsoft Azure. Os resultados preliminares sugerem que o paradigma de orquestração traz diversos benefícios para a plataforma em questão, mas suposições estritas sobre persistência de armazenamento de dados e recursos compartilhados específicos ao host, entre outras condições, geram desafios ao tentar levar a tecnologia a este ambiente.

The Recent Revolution in High Performance Computing

MRS Bulletin ◽  
1997 ◽  
Vol 22 (10) ◽  
pp. 5-6
Author(s):  
Horst D. Simon
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
New Technologies ◽  
New Technology ◽  
Parallel Architecture ◽  
Time Frame ◽  
Good News ◽  
Computing Industry ◽  
Time And Energy ◽  
Performance Computing

Recent events in the high-performance computing industry have concerned scientists and the general public regarding a crisis or a lack of leadership in the field. That concern is understandable considering the industry's history from 1993 to 1996. Cray Research, the historic leader in supercomputing technology, was unable to survive financially as an independent company and was acquired by Silicon Graphics. Two ambitious new companies that introduced new technologies in the late 1980s and early 1990s—Thinking Machines and Kendall Square Research—were commercial failures and went out of business. And Intel, which introduced its Paragon supercomputer in 1994, discontinued production only two years later.During the same time frame, scientists who had finished the laborious task of writing scientific codes to run on vector parallel supercomputers learned that those codes would have to be rewritten if they were to run on the next-generation, highly parallel architecture. Scientists who are not yet involved in high-performance computing are understandably hesitant about committing their time and energy to such an apparently unstable enterprise.However, beneath the commercial chaos of the last several years, a technological revolution has been occurring. The good news is that the revolution is over, leading to five to ten years of predictable stability, steady improvements in system performance, and increased productivity for scientific applications. It is time for scientists who were sitting on the fence to jump in and reap the benefits of the new technology.

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