Copart: Coordinated partitioning of last-level cache and memory bandwidth for fairness-aware workload consolidation on commodity servers
Workload consolidation is a widely-used technique to maximize server resource utilization in
cloud and datacenter computing. Recent commodity CPUs support last-level cache (LLC) …
cloud and datacenter computing. Recent commodity CPUs support last-level cache (LLC) …
An Optimized Collision Avoidance Decision‐Making System for Autonomous Ships under Human‐Machine Cooperation Situations
X Wu, K Liu, J Zhang, Z Yuan, J Liu… - Journal of Advanced …, 2021 - Wiley Online Library
Maritime Autonomous Surface Ships (MASSs) are attracting increasing attention in recent
years as it brings new opportunities for water transportation. Previous studies aim to propose …
years as it brings new opportunities for water transportation. Previous studies aim to propose …
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 …
Design and implementation of bandwidth-aware memory placement and migration policies for heterogeneous memory systems
Heterogeneous memory systems that comprise memory nodes based on widely-different
device technologies (eg, DRAM and nonvolatile memory (NVM)) are emerging in various …
device technologies (eg, DRAM and nonvolatile memory (NVM)) are emerging in various …
Quantifying the performance and energy-efficiency impact of hardware transactional memory on scientific applications on large-scale NUMA systems
Hardware transactional memory (HTM) is supported by widely-used commodity processors.
While the effectiveness of HTM has been evaluated based on small-scale multi-core …
While the effectiveness of HTM has been evaluated based on small-scale multi-core …
Enhancing in-memory efficiency for MapReduce-based data processing
As the memory capacity of computational systems increases, the in-memory data
management of Big Data processing frameworks becomes more crucial for performance …
management of Big Data processing frameworks becomes more crucial for performance …
A performance-stable NUMA management scheme for linux-based HPC systems
Linux is becoming the de-facto standard operating system for today's high-performance
computing (HPC) systems because it can satisfy the demands of many HPC systems for rich …
computing (HPC) systems because it can satisfy the demands of many HPC systems for rich …
Analyzing and optimizing the performance and energy efficiency of transactional scientific applications on large-scale NUMA systems with HTM support
Hardware transactional memory (HTM) is widely supported by commodity processors. While
the effectiveness of HTM has been evaluated based on small-scale multi-core systems, it still …
the effectiveness of HTM has been evaluated based on small-scale multi-core systems, it still …
BLPP: Improving the performance of GPGPUs with heterogeneous memory through bandwidth-and latency-aware page placement
GPGPUs with heterogeneous memory have surfaced as a promising solution to improve the
programmability and flexibility of GPGPU computing. Despite the extensive prior works …
programmability and flexibility of GPGPU computing. Despite the extensive prior works …
Managing deceitful arguments with X-logics
G Aubry, V Risch - 2006 18th IEEE International Conference on …, 2006 - ieeexplore.ieee.org
In most works on negotiation dialogues, agents are supposed to be ideally honest. However,
there are many situations where such a behaviour cannot always be expected from the …
there are many situations where such a behaviour cannot always be expected from the …