Search Results for: unified

Linux Foundation: Unified Acceleration Foundation Formed for Open Accelerated Compute and Cross-Platform Performance

BILBAO, SPAIN – September 19, 2023 –  Today, the Linux Foundation announced the formation of the Unified Acceleration (UXL) Foundation, a cross-industry group focused on delivering an open standard accelerator programming model that simplifies development of performant, cross-platform applications. Hosted by the Linux Foundation’s Joint Development Foundation (JDF), the Unified Acceleration Foundation brings together ecosystem participants to establish […]

March 30: CHIPS Alliance and RISC-V International Invite the RISC-V Community to Update Unified Memory Architecture Standard

SAN FRANCISCO, March 24, 2020 – RISC-V International, a non-profit corporation controlled by its members to drive the adoption and implementation of the free and open RISC-V instruction set architecture (ISA), and CHIPS Alliance, a consortium advancing common and open hardware for interfaces, processors and systems, today announced a joint collaboration to update the OmniXtend Cache Coherency specification […]

WekaIO Announces Cloud-Native, Unified Storage Solutions for Data Lifecycle

CAMPBELL, Calif. – October 27, 2020 –  WekaIO (Weka), the leader in high-performance, scalable file storage for data-intensive applications, today announced a transformative cloud-native storage solution underpinned by the world’s fastest file system, WekaFS, that unifies and simplifies the data pipeline for performance-intensive workloads and accelerated DataOps. Weka has developed reference architectures (RAs) with leading […]

The Race for a Unified Analytics Warehouse

This white paper, “The Race for a Unified Analytics Warehouse,” from our friends over at Vertica discusses how the race for a unified analytics warehouse is on. The data warehouse has been around for almost three  decades. Shortly after big data platforms were introduced in the late 2000s, there was talk that the data  warehouse was dead—but it never went away. When big data platform vendors realized that the data warehouse was here to stay, they started building databases on top of their file system and conceptualizing a  data lake that would replace the data warehouse. It never did.

The Race for a Unified Analytics Warehouse

This white paper from our friends over at Vertica discusses how the race for a unified analytics warehouse is on. The data warehouse has been around for almost three  decades. Shortly after big data platforms were introduced in the late 2000s, there was talk that the data  warehouse was dead—but it never went away. When big data platform vendors realized that the data warehouse was here to stay, they started building databases on top of their file system and conceptualizing a  data lake that would replace the data warehouse. It never did.

Qumulo Unified File Storage Reduces Administrative Burden While Consolidating HPC Workloads

Qumulo showcased its scalable file storage for high-performance computing workloads at SC19. The company helps innovative organizations gain real-time visibility, scale and control of their data across on-prem and the public cloud. More and more HPC institutes are looking to modern solutions that help them gain insights from their data, faster,” said Molly Presley, global product marketing director for Qumulo. “Qumulo helps the research community consolidate diverse workloads into a unified, simple-to-manage file storage solution. Workgroups focused on image data, analytics, and user home directories can share a single solution that delivers real-time visibility into billions of files while scaling performance on-prem or in the cloud to meet the demands of the most intensive research environments.”

Vitis Unified Software Platform to make FPGA Programming Accessible for All Developers

Since their beginnings, FPGA’s have been notorious for being hard to program. That could be changing with the new Vitis Unified Software Platform from Xilinx.n“Xilinx has created a singular environment that enables programmers and engineers from all disciplines to co-develop and optimize both their hardware and software, using the tools and frameworks they already know and understand. This means that they can adapt their hardware architecture to their application without the need for new silicon.”

Video: Unified Memory on Summit (Power9 + V100)

Jeff Larkin from NVIDIA gave this talk at the Summit Application Readiness Workshop. The event had the primary objective of providing the detailed technical information and hands-on help required for select application teams to meet the scalability and performance metrics required for Early Science proposals. Technical representatives from the IBM/NVIDIA Center of Excellence will be delivering a few plenary presentations, but most of the time will be set aside for the extended application teams to carry out hands-on technical work on Summit.”

Unified Deep Learning Configurations and Emerging Applications

This is the final post in a five-part series from a report exploring the potential machine and a variety of computational approaches, including CPU, GPU and FGPA technologies. This article explores unified deep learning configurations and emerging applications. 

Unified Deep Learning with CPU, GPU and FPGA Technologies

Deep learning and complex machine learning has quickly become one of the most important computationally intensive applications for a wide variety of fields. Download the new paper — from Advanced Micro Devices Inc. (AMD) and Xilinx Inc. — that explores the challenges of deep learning training and inference, and discusses the benefits of a comprehensive approach for combining CPU, GPU, FPGA technologies, along with the appropriate software frameworks in a unified deep learning architecture.