“Many modern workloads such as neural network inference and graph processing are fundamentally memory-bound. For such workloads, data movement between memory and CPU cores imposes a significant ...

Recent advances in the field of artificial intelligence (AI) have opened new exciting possibilities for the rapid analysis of ...

The portion of a computer’s RAM that is used by a hardware device such as a GPU (Graphics Processing Unit), sound card, network adapter, and other hardware components is known as Hardware Reserved.

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten ...

A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen Graduate School has achieved a global breakthrough by developing the first ...

Lawrence Livermore National Laboratory has long been one of the world’s largest consumers of supercomputing capacity. With computing power of more than 200 petaflops, or 200 billion floating-point ...

“Compute-in-memory (CIM) is an attractive solution to process the extensive workloads of multiply-and-accumulate (MAC) operations in deep neural network (DNN) hardware accelerators. A simulator with ...

Google's Chrome team is looking at heap scanning to reduce memory-related security flaws in Chrome's C++ codebase, but the technique creates a toll on memory – except when newer Arm hardware is used.