“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 ...

A technical paper titled “FlutPIM: A Look-up Table-based Processing in Memory Architecture with Floating-point Computation Support for Deep Learning Applications” was published by researchers at ...

GridGain’s in-memory MapReduce effectively parallelizes the processing of in-memory data stored in GGFS. It eliminates the overhead associated with job tracker and task trackers in a standard Hadoop ...

Researchers at the Politecnico di Milano have developed an analog in-memory computing chip that performs computations ...

This article is the third in an editorial series that will provide direction for enterprise thought leaders on ways of leveraging in-memory computing to analyze data faster, improve the quality of ...

The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...

Samsung claims its new HBM-PIM power-in-memory architecture will more than double system performance and reduce energy consumption by over 70%. A few months back, Samsung and Xilinx co-introduced an ...

Programming parallel processors isn't easy, especially when the number of processing elements is large. No single technique applies to all situations. But in its Storm-1 architecture, Stream ...

The first physical conference I attended this year was the 2021 OCP Summit in San Jose, CA. There were exciting developments around software defined storage, NVMe-oF, CXL and computational storage. We ...