A software toolkit developed at Berkeley Lab to better understand supercomputer performance is now being used to boost application performance for researchers running codes at NERSC and other ...

Java compilers take center stage in this second article in the JVM performance optimization series. Eva Andreasson introduces the different breeds of compiler and compares performance results from ...

With the promise of exascale supercomputers looming on the horizon, much of the roadmap is dotted with questions about hardware design and how to make these systems energy efficient enough so that ...

Application transformation is a term that comprises process of reducing the number of applications in an organization as well as moving applications to the cloud. It ensures that the apps meet updated ...

Agentic Postgres from Tiger Data offers persistent memory and BM25 search, helping you build faster and add Stripe payments ...

Is low-code/no-code the future of application development? Your email has been sent As popular and robust as these tools and platforms have become, low-code/no-code is not going to replace ...

Building apps has been widely accessible for both enterprises and non-programmers without putting high engineering efforts, mostly called low-code development, in recent years. In that regard, Gartner ...

These static application security testing and dynamic application security testing tools can help developers spot code errors and vulnerabilities quicker. The so-called software supply chain has been ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Let’s back up for a second: Are there advantages to using AI to write code? Certainly. We ...

Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...