Energy efficiency features of the intel skylake-sp processor and their impact on performance
The overwhelming majority of High Performance Computing (HPC) systems and server
infrastructure uses Intel x86 processors. This makes an architectural analysis of these …
infrastructure uses Intel x86 processors. This makes an architectural analysis of these …
Energy efficiency aspects of the AMD Zen 2 architecture
In High Performance Computing, systems are evaluated based on their computational
throughput. However, performance in contemporary server processors is primarily limited by …
throughput. However, performance in contemporary server processors is primarily limited by …
Hypart: A hybrid technique for practical memory bandwidth partitioning on commodity servers
Memory bandwidth is a highly performance-critical shared resource on modern computer
systems. To prevent the contention on memory bandwidth among the collocated workloads …
systems. To prevent the contention on memory bandwidth among the collocated workloads …
Extending slurm for dynamic resource-aware adaptive batch scheduling
With the growing constraints on power budget and increasing hardware failure rates, the
operation of future exascale systems faces several challenges. Towards this, resource …
operation of future exascale systems faces several challenges. Towards this, resource …
Drlpart: A deep reinforcement learning framework for optimally efficient and robust resource partitioning on commodity servers
Workload consolidation is a commonly used approach for improving resource utilization of
commodity servers. However, colocated workloads often suffer from significant performance …
commodity servers. However, colocated workloads often suffer from significant performance …
[HTML][HTML] Effect of hyper-threading in latency-critical multithreaded cloud applications and utilization analysis of the major system resources
Multithreaded latency-critical applications represent an important subset of workloads
running on public cloud systems. Most of these systems deploy powerful computing servers …
running on public cloud systems. Most of these systems deploy powerful computing servers …
Performance and energy analysis of openmp runtime systems with dense linear algebra algorithms
In this article, we analyze performance and energy consumption of five OpenMP runtime
systems over a non-uniform memory access (NUMA) platform. We also selected three CPU …
systems over a non-uniform memory access (NUMA) platform. We also selected three CPU …
Dynamic energy management for chip multi-processors under performance constraints
We introduce a novel algorithm for dynamic energy management (DEM) under performance
constraints in chip multi-processors (CMPs). Using the novel concept of delayed instructions …
constraints in chip multi-processors (CMPs). Using the novel concept of delayed instructions …
Pmu-events-driven dvfs techniques for improving energy efficiency of modern processors
This paper describes the results of our measurement-based study, conducted on an Intel
Core i7 processor running the SPEC CPU2017 benchmark suites, that evaluates the impact …
Core i7 processor running the SPEC CPU2017 benchmark suites, that evaluates the impact …
Investigation of LSTM based prediction for dynamic energy management in chip multiprocessors
MG Moghaddam, W Guan… - 2017 Eighth International …, 2017 - ieeexplore.ieee.org
In this paper, we investigate the effectiveness of using long short-term memory (LSTM)
instead of Kalman filtering to do prediction for the purpose of constructing dynamic energy …
instead of Kalman filtering to do prediction for the purpose of constructing dynamic energy …