scholarly journals Detection, Evaluation and Mitigation of Resource Affinity and Communication Contention Problems in a Task-Based Runtime over Heterogeneous Clusters

2020 ◽  
Author(s):  
Lucas Leandro Nesi ◽  
Lucas Schnorr
Keyword(s):  
Performance Improvement ◽  
High Performance ◽  
Lu Factorization ◽  
Application Development ◽  
Parallel Application ◽  
Extensive Analysis ◽  
Development Paradigm ◽  
Performance Computing ◽  
Detection Evaluation

The complexity of high performance computing (HPC) platforms The Task-Based presents challenges in parallel application development. paradigm is a candidate to reduce some of the programmer's burden. However, because of the platforms' complexity, resource affinity and communication contention might cause performance problems. This work presents a case study of these problems employing the Chameleon dense algebra linear solver LU factorization using the Task-Based runtime StarPU over 21 heterogeneous nodes. We present possible configurations to mitigate performance degradation and conduct an extensive analysis of their interaction. The results show a performance improvement of 16% without changing the application source code.

Hardware Accelerator Integration Tradeoffs for High-Performance Computing: A Case Study of GEMM Acceleration in N-Body Methods

2021 ◽  
Vol 32 (8) ◽  
pp. 2035-2048
Author(s):  
Mochamad Asri ◽  
Dhairya Malhotra ◽  
Jiajun Wang ◽  
George Biros ◽  
Lizy K. John ◽  
...  
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Hardware Accelerator ◽  
Performance Computing

scholarly journals COMPARATIVE STUDY OF ERP IMPLEMENTATION METHODOLOGY CASE STUDY: ACCELERATED SAP VS DANTES & HASIBUAN METHODOLOGY

2013 ◽  
Vol 8 (1) ◽  
pp. 8
Author(s):  
Muhammad Hafizhuddin Hilman ◽  
Farisya Setiadi ◽  
Ika Sarika ◽  
Jarot Budiasto ◽  
Rakhmat Alfian
Keyword(s):  
Enterprise Resource Planning ◽  
System Development ◽  
Resource Planning ◽  
Application Development ◽  
Erp Implementation ◽  
Erp System ◽  
Whole Process ◽  
Implementation Methodology ◽  
Development Paradigm

Enterprise Resource Planning (ERP) system is a concept of enterprise system that describe the integration of the whole process in the organization. Study in this field mostly about external development paradigm on information system development. So, issue in ERP is all about how to adopt it in the organization, not about the application development. This paper reviews two methodology on ERP system implementation, one is vendor perspective methodology and new generic perspective methodology. Comparation of both methodology is done in this study by using Roger Sessions’ metric. Result is the vendor perspective slightly superior than the new generic perspective methodology.

scholarly journals Log Analysis-Based Resource and Execution Time Improvement in HPC: A Case Study

2020 ◽  
Vol 10 (7) ◽  
pp. 2634
Author(s):  
JunWeon Yoon ◽  
TaeYoung Hong ◽  
ChanYeol Park ◽  
Seo-Young Noh ◽  
HeonChang Yu
Keyword(s):  
Execution Time ◽  
High Performance ◽  
Large Scale ◽  
Experimental Result ◽  
Optimization Approach ◽  
Root Cause ◽  
Large Systems ◽  
Job Scheduler ◽  
Performance Computing

High-performance computing (HPC) uses many distributed computing resources to solve large computational science problems through parallel computation. Such an approach can reduce overall job execution time and increase the capacity of solving large-scale and complex problems. In the supercomputer, the job scheduler, the HPC’s flagship tool, is responsible for distributing and managing the resources of large systems. In this paper, we analyze the execution log of the job scheduler for a certain period of time and propose an optimization approach to reduce the idle time of jobs. In our experiment, it has been found that the main root cause of delayed job is highly related to resource waiting. The execution time of the entire job is affected and significantly delayed due to the increase in idle resources that must be ready when submitting the large-scale job. The backfilling algorithm can optimize the inefficiency of these idle resources and help to reduce the execution time of the job. Therefore, we propose the backfilling algorithm, which can be applied to the supercomputer. This experimental result shows that the overall execution time is reduced.

Improvement in Server Compute Performance Using Advanced Air Cooled Thermal Solutions

2017 ◽  
Author(s):  
Devdatta Kulkarni ◽  
Sandeep Ahuja ◽  
Sanjoy Saha
Keyword(s):  
Form Factor ◽  
Boundary Conditions ◽  
High Performance ◽  
Thermal Design ◽  
Air Cooling ◽  
Liquid Cooling ◽  
Increasing Demand ◽  
Performance Computing ◽  
Design Power

Continuously increasing demand for higher compute performance is pushing for improved advanced thermal solutions. In high performance computing (HPC) area, most of the end users deploy some sort of direct or indirect liquid cooling thermal solutions. But for the users who have air cooled data centers and air cooled thermal solutions are challenged to cool next generation higher Thermal Design Power (TDP) processors in the same platform form factor without changing environmental boundary conditions. This paper presents several different advanced air cooled technologies developed to cool high TDP processors in the same form factor and within the same boundary conditions of current generation processor. Comparison of thermal performance using different cooling technologies such as Liquid Assist Air Cooling (LAAC) and Loop Heat Pipe (LHP) are presented in this paper. A case study of Intel’s Knights Landing (KNL) processor is presented to show case the increase in compute performance due to different advanced air cooling technologies.

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