LOCAL (single hive, no federation): 12.1% FEDERATED (5-hive tree, HiveGraph): 49.5% (+37.4pp over local) AZURE PG (centralized baseline): 96.0% (+46.5pp over federated) Federation adds +37.4pp through ...

Over the past couple of years, we’ve watched AI go from novelty to utility. Chatbots became copilots, copilots became workflows, and workflows are now inching toward something bigger: Agentic systems ...

ABSTRACT: The golden age of digital chips seems to be coming to an end. For decades, we have relied on making transistors smaller and increasing clock speeds to improve performance. However, when chip ...

MegaMmap: Blurring the Boundary Between Memory and Storage for Data-Intensive HPC Workloads. A software distributed shared memory system that enables infinite memory capacity through intelligent ...

In his 2023 Ph.D. dissertation, “Operating Systems for Far Out Memories,” Daniel Bittman argues that a recent convergence of hardware trends—including increased memory heterogeneity, faster ...

Discover how CUDA 13.0 optimizes kernel performance by using shared memory for register spilling, reducing latency and improving efficiency in GPU computations. In a significant advancement for GPU ...

Abstract: The up trend in the number of cores in cluster architectures underscores the need for scalable communication middleware on these systems. One of the strategies to take advantage of this ...

Abstract: Transactional Memory is a novel, promising approach for simplifying parallel programming and increasing its acceptance and diffusion. Until now, almost all the research work on TM has been ...