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Suchang Chae, ETRI Daejeon Korea Abstract : This paper propose an improved method called the modified warm-up-free parallel window (PW) MAP decoding schemes to implement highly-parallel Turbo decoder ...
Hardware designs for parallel computing are as diverse as the problems they are asked to solve. One of the common categorizations include single/multiple instruction/data. A SIMD architecture ...
I have recently finished a research paper looking into the data center architecture for deploying the Graphcore IPU-Machine, which is a network-attached accelerator for highly-parallel workloads.
The Quadric architecture supports all types of data-parallel algorithms through Source Mode within the SDK.
Hammerspace's David Flynn talks with theCUBE about developing a parallel NFS architecture that could revolutionize data storage.
Vast Data is pioneering a smart new architecture that goes beyond advanced erasure codes to ensure storage reliability, low-cost, and high performance.
Keysight AI (KAI) Data Center Builder is an advanced software suite that emulates real-world workloads to evaluate how new algorithms, components, and protocols impact the performance of AI training.
How can infosec pros and data architects work together to support business goals and achieve a good level of cyber security?