Data prefetching has emerged as a critical approach to mitigate the performance bottlenecks imposed by memory access latencies in modern computer architectures. By predicting the data likely to be ...

The biggest challenge posed by AI training is in moving the massive datasets between the memory and processor.

Scientists have been building supercomputers for simulating climate change for decades on special-purpose machines using specially crafted algorithms. Today powerful cloud computers are growing in ...

Domain-specific AI has changed the game in computer architecture. Why there’s such a demand for neural networks. While the general-purpose processor has long dominated market share, there’s been a ...

Imagine having a conversation with someone who remembers every detail about your preferences, past discussions, and even the nuances of your personality. It feels natural, seamless, and, most ...

Forbes contributors publish independent expert analyses and insights. Craig S. Smith, Eye on AI host and former NYT writer, covers AI. Seven years and seven months ago, Google changed the world with ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A team of researchers from leading ...

Given the accuracy of Moore’s Law to the development of integrated circuits over the years, one would think that our present day period is no different from the past decades in terms of computer ...

This course examines fundamental issues and design trade-offs in modern processor architectures. We will discuss some of the constraints that limit the design and programmability of modern processors, ...

Most modern programming languages use garbage collection, but developers have options for how it is implemented and tuned. Get an overview of how garbage collection works in languages such as Java, ...