Harnessing Computational Storage For Faster Data Processing


By Ujjwal Negi and Prashant Dixit In the evolving landscape of data storage, computational storage devices (CSDs) are revolutionizing how we process and store data. By embedding processing capabilities within storage units, these devices enable in-situ data manipulation, minimizing data movement between storage and CPUs and dramatically improving performance and efficiency. This paradigm shi... » read more

Accelerating Verification Of Computational Storage Designs Using Avery NVMe Verification IP


Computational storage is an emerging paradigm that integrates processing capabilities directly within storage devices. This paper outlines how this approach addresses the limitations of traditional NVM Express (NVMe) SSDs and the performance characteristics of the newly introduced compute and subsystem local memory (SLM) namespaces. The paper also focuses on the verification framework provided ... » read more

TCAM-SSD: A Framework For In-SSD Associative Search Using NAND Flash Memory


A new technical paper titled "TCAM-SSD: A Framework for Search-Based Computing in Solid-State Drives" was published by researchers at University of Illinois Urbana-Champaign, Carnegie Mellon University, Samsung Electronics and Sandia National Laboratories. Abstract "As the amount of data produced in society continues to grow at an exponential rate, modern applications are incurring signific... » read more

Samsung PM9A3 All Flash Reference Platform


Software Defined Storage continues to gain momentum in the modern datacenter storage market. As datacenter storage in- frastructures and technologies evolve, the need for speed and flexibility in the storage system becomes evident. NVMe is at the forefront of these advancements. Weka is a software defined storage system that is designed to meet the needs of today’s I/O intensive workloads. It... » read more

PCIe 6.0, NVMe, And Emerging Form Factors For Storage Applications


PCIe 6.0 implementations are expandable and hierarchical with embedded switches or switch chips, allowing one root port to interface with multiple endpoints (such as storage devices, Ethernet cards, and display drivers). While the introduction of PCIe 6.0 at 64GT/s helped to increase the bandwidth available for storage applications with minimal or no increase in latency, the lack of coherency s... » read more

What’s In A Name(space)? Optimizing SSD Controller Performance And Verification


Solid state drives (SSDs) have come to the forefront as a promising solution for today and tomorrow’s immense data transfer and storage demands. And SSDs themselves are constantly evolving with upgrades of their critical components to provide higher access speeds. One such component for the NVMe specification is created by the division of non-volatile memory (NVM) into what are commonly known... » read more

NVMe-oF: Simple, Invisible Fabric For Distributed Storage Networks


In today’s fast paced world, we need seamless access to huge chunks of data and new-world technologies, such as artificial intelligence (AI), machine learning (ML), cloud computing, and real-time data analytics. AI researchers are deriving applications such as cyber security analysis and intelligent virtual assistants (IVA) where the computer needs to process an intense amount of data. Theref... » read more

Has Computational Storage Finally Arrived?


The idea behind computational storage is not new. It’s just that like so many concepts, the idea has been well ahead of the technology. In a nutshell, computational storage brings processing power to the storage level. It eliminates the need to load data from the storage system into memory for processing. Moving data between storage and compute resources is inefficient and computational sy... » read more

New Power, Performance Options At The Edge


Increasing compute intelligence at the edge is forcing chip architects to rethink how computing gets partitioned and prioritized, and what kinds of processing elements and memory configurations work best for a particular application. Sending raw data to the cloud for processing is both time- and resource-intensive, and it's often unnecessary because most of the data collected by a growing nu... » read more

Challenges In Developing A New Inferencing Chip


Cheng Wang, co-founder and senior vice president of software and engineering at Flex Logix, sat down with Semiconductor Engineering to explain the process of bringing an inferencing accelerator chip to market, from bring-up, programming and partitioning to tradeoffs involving speed and customization.   SE: Edge inferencing chips are just starting to come to market. What challenges di... » read more

← Older posts