ABSTRACT
Achieving high performance for GPU codes requires developers to have significant knowledge in parallel programming and GPU architectures, and in-depth understanding of the application. This combination makes it challenging to find performance optimizations for GPU-based applications, especially in scientific computing. This paper shows that significant speedups can be achieved on two quite different scientific workloads using the tool, GEVO, to improve performance over human-optimized GPU code. GEVO uses evolutionary computation to find code edits that improve the runtime of a multiple sequence alignment kernel and a SARS-CoV-2 simulation by 28.9% and 29% respectively. Further, when GEVO begins with an early, unoptimized version of the sequence alignment program, it finds an impressive 30 times speedup-a performance improvement similar to that of the hand-tuned version. This work presents an in-depth analysis of the discovered optimizations, revealing that the primary sources of improvement vary across applications;that most of the optimizations generalize across GPU architectures;and that several of the most important optimizations involve significant code interdependencies. The results showcase the potential of automated program optimization tools to help reduce the optimization burden for scientific computing developers and enhance performance portability for domain-specific accelerators. © 2022 IEEE.
ABSTRACT
Optimization of human performance today is the key ingredient to success when there is a huge downfall in economy due to novel corona virus. Life has become a struggle for continued existence, especially during the times of pandemic. In such conditions, people who are going out for work are more vulnerable. Scarceness of fund, illness, poverty, and pitiable employment opportunities is mainly for the people in the mounting pandemic times. As many employees are often trying to cope up with their health, economic, social, and psychological issues, intelligence comes in their way when they are dealing with the people and working hard in an organization. Social intelligence plays a significant role in their life, in getting along well with others. Hence, the review was done to see if social intelligence works as a tool for human performance optimization, especially for people who are going out and serving others. The secondary data indicate that employee's performance and social intelligence have a positive relationship. Proper optimization of human performance was seen in people with high social intelligence. Further, studies also indicated that social intelligence enhanced motivation and created values in employees which in turn helped in human performance optimization. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The COVID-19 pandemic has laid bare the need for contactless operations. While unmanned aerial vehicles (UAVs) are being developed to aid humans in countless domains, the need for effective battery management and performance optimization remains a huge task. The proposed solution, the “AeroDock”, aims to tackle these challenges by using wireless power transfer (WPT) technology coupled with smart monitoring of the drone's health. The performance and hardware checks are assessed at the user end via cloud computing and IoT technology. This system is contact-less, safe, reliable and its usage is not affected by external factors. Thus, the AeroDock is a smart docking station for UAVs which eliminates the need for human intervention in effective charging and maintenance. © 2022 Institute of Physics Publishing. All rights reserved.