May 11, 2022
Intel has shared more details on a new interconnect that is the foundation of the company’s long-term plan for x86, Arm and RISC-V architectures to co-exist in a single chip package. The semiconductor company is taking a modular approach to chip design with the option for customers to cram computing blocks such as CPUs, GPUs and AI accelerators inside a single chip package. Read more…
March 2, 2022
A new industry consortium aims to establish a die-to-die interconnect standard – Universal Chiplet Interconnect Express (UCIe) – in support of an open chipl Read more…
October 14, 2016
With two major announcements this week, IBM continues to drive the build-out of its advanced scale ecosystem, aligning industry heavies to jointly develop open technologies that tackle the perennial problems of latency, bandwidth and bringing processing power into balance with data access within and among servers. In so doing, IBM and the companies alongside it have joined battle with Intel Read more…
October 29, 2015
The high-performance computing community has started to take notice of Non-Volatile Memory Express (NVMe) technology. This communications interface and protoc Read more…
June 23, 2015
Improving data communication performance in HPC has turned out to be one of the most difficult challenges for system designers. As a result, the topic is gettin Read more…
November 14, 2012
PLX Technology, a maker of PCIe switches and bridges, has been spreading the word about using PCIe as a general-purpose HPC interconnect. At SC12 this week, the company went a little further down that path, unveiling their upcoming Express Fabric technology. We asked Vijay Meduri, executive vice president of engineering at PLX to talk about the rationale of using PCIe as an interconnect fabric. Read more…
May 18, 2011
Enterprise SSD maker Texas Memory Systems (TMS) has been kicking up some dust lately, announcing record-breaking performance results with its RamSan-630 product and launching its latest PCIe flash offering. Specifically, TMS recently put up some rather impressive numbers in two key benchmarks established by the Storage Performance Council. And then this week, the company introduced its next-generation PCIe flash memory product, the RamSan-70. Read more…
January 24, 2011
In high-speed computing (HPC), there are a number of significant benefits to simplifying the processor interconnect in rack- and chassis-based servers by designing in PCI Express (PCIe). The PCI-SIG, the group responsible for the conventional PCI and the much-higher-performance PCIe standards, has released three generations of PCIe specifications over the last eight years and is fully expected to continue this progression in the future with even newer generations, from which HPC systems will continue to see newer features, faster data throughput and improved reliability. Read more…
The increasing complexity of electric vehicles result in large and complex computational models for simulations that demand enormous compute resources. On-premises high-performance computing (HPC) clusters and computer-aided engineering (CAE) tools are commonly used but some limitations occur when the models are too big or when multiple iterations need to be done in a very short term, leading to a lack of available compute resources. In this hybrid approach, cloud computing offers a flexible and cost-effective alternative, allowing engineers to utilize the latest hardware and software on-demand. Ansys Gateway powered by AWS, a cloud-based simulation software platform, drives efficiencies in automotive engineering simulations. Complete Ansys simulation and CAE/CAD developments can be managed in the cloud with access to AWS’s latest hardware instances, providing significant runtime acceleration.
Two recent studies show how Ansys Gateway powered by AWS can balance run times and costs, making it a compelling solution for automotive development.
Five Recommendations to Optimize Data Pipelines
When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.
With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.
To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.
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