23,596 research outputs found
A quark meson coupling model with density- and temperature- dependent quark masses
Based on the quark mass density- and temperature- dependent model we suggest
a model for nuclear matter where the meson field is introduced to be directly
coupled to the quarks. The dynamic formation of the nucleon bag, the saturation
properties of nuclear matter as well as equation of state for this model are
studies.Comment: 4 pages, 2 figure
A Workload-Specific Memory Capacity Configuration Approach for In-Memory Data Analytic Platforms
We propose WSMC, a workload-specific memory capacity configuration approach
for the Spark workloads, which guides users on the memory capacity
configuration with the accurate prediction of the workload's memory requirement
under various input data size and parameter settings.First, WSMC classifies the
in-memory computing workloads into four categories according to the workloads'
Data Expansion Ratio. Second, WSMC establishes a memory requirement prediction
model with the consideration of the input data size, the shuffle data size, the
parallelism of the workloads and the data block size. Finally, for each
workload category, WSMC calculates the shuffle data size in the prediction
model in a workload-specific way. For the ad-hoc workload, WSMC can profile its
Data Expansion Ratio with small-sized input data and decide the category that
the workload falls into. Users can then determine the accurate configuration in
accordance with the corresponding memory requirement prediction.Through the
comprehensive evaluations with SparkBench workloads, we found that, contrasting
with the default configuration, configuration with the guide of WSMC can save
over 40% memory capacity with the workload performance slight degradation (only
5%), and compared to the proper configuration found out manually, the
configuration with the guide of WSMC leads to only 7% increase in the memory
waste with the workload's performance slight improvement (about 1%
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