High Performance Computing
High Performance Computing (HPC) refers to the use of advanced computing systems and techniques to solve complex computational problems. HPC systems typically consist of clusters of powerful computers that work together to execute large-scale computations quickly and efficiently.
HPC has many applications across a wide range of industries, including scientific research, engineering, finance, and healthcare. Some of the key applications of HPC include climate modeling, drug discovery, financial modelling, and genomics.
HPC also presents significant technical challenges, including the need to design algorithms that can scale to thousands or millions of processing cores, as well as the need to manage and distribute data efficiently across multiple nodes.
Overall, HPC enables researchers and organizations to tackle complex problems that were previously infeasible, and it is expected to play an increasingly important role in driving scientific and technological progress in the future.
Related Conference of High Performance Computing
6th Annual Summit on Satellite and Space Communication Technology
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
10th World Congress on Computer Science, Machine Learning and Big Data
10th International Conference and Expo on Computer Graphics & Animation
High Performance Computing Conference Speakers
Recommended Sessions
- Analytics and Data Visualization
- Applications of Big Data and Analytics
- Big Data Applications in Industry
- Big Data Governance and Management
- Big Data Infrastructure and Technologies
- Computer Science Fundamentals
- Data Ethics and Bias
- Data Mining and Text Mining
- Data Privacy and Security
- Data Science Education and Workforce Development
- Data Science for Social Good
- Data Science Tools and Platforms
- High Performance Computing
- Machine Learning and AI
- Real-Time and Stream Data Processing
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