Microstructure, microrheology, and dynamics of laponite® and laponite®-poly(ethylene oxide) glasses and dispersions
- Award ID(s):
- 1903189
- PAR ID:
- 10273145
- Date Published:
- Journal Name:
- Rheologica Acta
- Volume:
- 59
- Issue:
- 6
- ISSN:
- 0035-4511
- Page Range / eLocation ID:
- 387 to 397
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
We present Apache Flink 2.0, an evolution of the popular stream processing system's architecture that decouples computation from state management. Flink 2.0 relies on a remote distributed file system (DFS) for primary state storage and uses local disks as a secondary cache, with state updates streamed continuously and directly to the DFS. To address the latency implications of remote storage, Flink 2.0 incorporates an asynchronous runtime execution model. Furthermore, Flink 2.0 introduces ForSt, a novel state store featuring a unified file system that enables faster and lightweight checkpointing, recovery, and reconfiguration with minimal intrusion to the existing Flink runtime architecture. Using a comprehensive set of Nexmark benchmarks and a large-scale stateful production workload, we evaluate Flink 2.0's large-state processing, checkpointing, and recovery mechanisms. Our results show significant performance improvements and reduced resource utilization compared to the baseline Flink 1.20 implementation. Specifically, we observe up to 94% reduction in checkpoint duration, up to 49× faster recovery after failures or a rescaling operation, and up to 50% cost savings.more » « less
-
We evaluated Intel ® Optane™ DC Persistent Memory and found that Intel's persistent memory is highly sensitive to data locality, size, and access patterns, which becomes clearer by optimizing both virtual memory page size and data layout for locality. Using the Polybench high-performance computing benchmark suite and controlling for mapped page size, we evaluate persistent memory (PMEM) performance relative to DRAM. In particular, the Linux PMEM support maps preferentially maps persistent memory in large pages while always mapping DRAM to small pages. We observed using large pages for PMEM and small pages for DRAM can create a 5x difference in performance, dwarfing other effects discussed in the literature. We found PMEM performance comparable to DRAM performance for the majority of tests when controlled for page size and optimized for data locality.more » « less
An official website of the United States government

