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SEPTEMBER 2024
High-Performance Computing
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High-Performance Computing (HPC) utilizes supercomputers to integrate advanced algorithms, architectures, and technologies to tackle the most demanding scientific and engineering challenges. It drives innovation, accelerates research, and enhances public–private collaborations by providing the computational power needed for extreme-scale simulations, scientific exploration, and national security tasks, ultimately focusing on rapid, accurate problem-solving.
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High Performance Computing in Decentralized Network
According to researchers at the Green University of Bangladesh, a new system for HPC using decentralized networks with Fog servers, CDNs, and Peer-to-Peer communication will vastly improve content delivery and processing speed.
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Modular HPC Using Chiplets
Chiplets are modular components that can enhance HPC systems’ performance, reduce complexity, and manufacturing costs. Modular components integrate workload-specific processors and memory.
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Additional Resources
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[Guide] What Makes a Great Cybersecurity Consultant?
Advice and insights from top CISOs and security experts on the latest techniques and technologies essential for distinguishing yourself as a cybersecurity consultant.
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[Webinar] Current Industry Trends: Insights and Resolutions
11 September 2024 at 12pm ET -- What are the major industry trends? To get industry insights, we surveyed practitioners on their challenges and resolutions. Lack of competence was named the biggest challenge. Technology companies increasingly suffer from inadequate competences, both in terms of quantity and quality. Another topic are the effects of working remotely rather than in office which get tangible. Another interesting insight is the difference in answers from China compared to western participants. Chinese culture stimulates group thinking and work. This webinar provides insights and resolutions.
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SE Radio 429: Rob Skillington on High Cardinality Alerting and Monitoring
Rob Skillingon explores scaling challenges in monitoring high-dimensional data, comparing high cardinality versus high-dimension spaces. Going over metrics, alerting, aggregation strategies, and insights from Uber and the M3DB project.
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