“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 ...

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

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 ...

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 ...

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 ...

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 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 ...

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 ...