#distributedcomputing 검색 결과
Multi-dimensional COMPO partitions let you organize data by date and range, symbol and hour, or any combo you need. Perfect for complex analytics workloads. #DolphinDB #DistributedComputing #TimeSeries
Partitioning spreads data across nodes so heavy jobs break into parallel subtasks. More throughput, smoother workloads, and true distributed performance. Partition smart, scale effortlessly. #DolphinDB #DistributedComputing #HighPerformance
RANGE, HASH, VALUE, LIST, or even multi-dimensional COMPO — DolphinDB gives you the freedom to organize data exactly the way your workload needs. Flexible partitioning = scalable systems. #DolphinDB #BigData #DistributedComputing
The cross-cluster subscription syntax (<streamTable>@<clusterIdentifier>) is clean and powerful. Managing data flows across different geo-locations becomes declarative. #DolphinDB #DistributedComputing #DataFlows
The global edge computing market is estimated at USD 21.4 billion in 2025 and projected to surge to USD 263.8 billion by 2035 — an impressive 28% CAGR. Explore full report:👉 gminsights.com/industry-analy… #EdgeComputing #EdgeAI #DistributedComputing #IoT #IIoT #5GTechnology #GMI
The distributed engine blew me away. Spinning up nodes and watching jobs auto-parallelize feels almost magical. Huge win for multi-asset research. #DolphinDB #DistributedComputing #TimeSeries
DolphinDB’s built-in distributed computing feels surprisingly natural. Spin up nodes, push tasks, watch the cluster fly. Makes heavy research workloads almost fun. #DolphinDB #DistributedComputing #TimeSeries
Check this newly published article "Scalable Graph Coloring Optimization Based on Spark GraphX Leveraging Partition Asymmetry" at brnw.ch/21wY9Zb Authors: Yihang Shen et al. #mdpisymmetry #distributedcomputing
📄 A Kubernetes Controller for Managing the Availability of Elastic Microservice Based Stateful Applications by Leila Abdollahi Vayghan et al. #HPC #HighPerformanceComputing #DistributedComputing arxiv.org/abs/2012.14086…
📄 Ginkgo -- A Math Library designed for Platform Portability by Terry Cojean et al. #HPC #HighPerformanceComputing #DistributedComputing arxiv.org/abs/2011.08879…
Discord's ML Scaling Breakthrough techlife.blog/posts/how-disc… #DistributedComputing #Ray #KubeRay #XRay #Discord
📄 Power-Aware Run-Time Scheduler for Mixed-Criticality Systems on Multi-Core Platform by Behnaz Ranjbar et al. #HPC #HighPerformanceComputing #DistributedComputing arxiv.org/abs/2011.03262…
📄 Heartbeat Diagnosis of Performance Anomaly in OpenMP Multi-Threaded Systems by Weidong Wang et al. #HPC #HighPerformanceComputing #DistributedComputing #Performance arxiv.org/abs/2011.01419…
📄 A comparison of techniques for solving the Poisson equation in CFD by Nick Brown et al. #HPC #HighPerformanceComputing #DistributedComputing arxiv.org/abs/2010.14132…
📄 Enhancing Cloud Storage with Shareable Instances for Social Computing by Ying Mao et al. #HPC #HighPerformanceComputing #DistributedComputing #Cloud arxiv.org/abs/2010.13296…
📄 LazyBatching: An SLA-aware Batching System for Cloud Machine Learning Inference by Yujeong Choi et al. #HPC #HighPerformanceComputing #DistributedComputing #Cloud arxiv.org/abs/2010.13103…
📄 Work-stealing prefix scan: Addressing load imbalance in large-scale image registration by Marcin Copik et al. #HPC #HighPerformanceComputing #DistributedComputing arxiv.org/abs/2010.12478…
📄 Resource allocation for task-level speculative scientific applications: a proof of concept using Parallel Trajectory Splicing by Andrew Garmon et al. #HPC #HighPerformanceComputing #DistributedComputing #ParallelComputing arxiv.org/abs/2010.11792…
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