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Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

ACM Sigarch

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. The memory bandwidth will be a key player because the traditional method to add memory bandwidth by adding memory channels is not scalable.

Latency 52
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321
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Dutch Enterprises and The Cloud

All Things Distributed

In addition to its goal of reducing energy costs, Shell needed to be more agile in deploying IT services and planning for user demand. Shell leverages AWS for big data analytics to help achieve these goals. Essent – supplies customers in the Benelux region with gas, electricity, heat and energy services.

Cloud 129
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What is a Distributed Storage System

Scalegrid

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130
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The Winds of Architecture Changes at the USENIX ATC 2019

ACM Sigarch

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. The second work presented a novel scalable distributed capability mechanism for security and protection in such systems.