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NUMAscope: Capturing and Visualizing Hardware Metrics on Large ccNUMA Systems

Cache-coherent non-uniform memory access (ccNUMA) systems enable parallel applications to scale-up to thousands of cores and many terabytes of main memory. However, since remote …

Freeing Compute Caches from Serialization and Garbage Collection in Managed Big Data Analytics

Managed analytics frameworks (e.g., Spark) cache intermediate results in memory (on-heap) or storage devices (off-heap) to avoid costly recomputations, especially in graph …

ACTiCLOUD Deliverable 3.6: Hyperscale JVM v2.0

ACTiCLOUD Deliverable 3.2: Hyperscale JVM v1.0

DiSquawk: 512 cores, 512 memories, 1 JVM

BDDT: Block-level Dynamic Dependence Analysis for Deterministic Task-Based Parallelism