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Showing 1 to 3 of 3 for “"analytics workflows"”.

  1. Scalable and Productive Data Management for High-Performance Analytics

    … performance gaps exist between big data analytics software and HPC systems. These gaps arise from multiple factors, including the tradeoff between performance and programming productivity, data growth at a faster rate than memory capacity, and the high storage footprints of data analytics

    vt Repository record for Scalable and Productive Data Management for High-Performance Analytics (opens in a new tab)

  2. Privacy-Preserving and Robust Data Analytics under Distributed Settings

    … sensitive information within data processing and analytics workflows, especially in distributed systems, has become paramount. High-profile data breaches and privacy regulations like the General Data Protection Regulation (GDPR) underscore this urgency. Privacy-enhancing data release and learning …

    arizona-thes Repository record for Privacy-Preserving and Robust Data Analytics under Distributed Settings (opens in a new tab)

  3. The Multi-tiered Future of Storage: Understanding Cost and Performance Trade-offs in Modern Storage Systems

    In the last decade, the landscape of storage hardware and software has changed considerably. Storage hardware has diversified from hard disk drives and solid state drives to include persistent memory (PMEM) devices such as phase change memory (PCM) and Flash-backed DRAM. On the software side, the …

    vt Repository record for The Multi-tiered Future of Storage: Understanding Cost and Performance Trade-offs in Modern Storage Systems (opens in a new tab)