Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
High-performance design of YARN MapReduce on modern HPC clusters with Lustre and RDMA
The viability and benefits of running MapReduce over modern High Performance Computing
(HPC) clusters, with high performance interconnects and parallel file systems, have attracted …
(HPC) clusters, with high performance interconnects and parallel file systems, have attracted …
A comprehensive study of MapReduce over lustre for intermediate data placement and shuffle strategies on HPC clusters
With high performance interconnects and parallel file systems, running MapReduce over
modern High Performance Computing (HPC) clusters has attracted much attention due to its …
modern High Performance Computing (HPC) clusters has attracted much attention due to its …
Approaches of enhancing interoperations among high performance computing and big data analytics via augmentation
The dawn of exascale computing and its convergence with big data analytics has greatly
spurred research interests. The reasons are straightforward. Traditionally, high performance …
spurred research interests. The reasons are straightforward. Traditionally, high performance …
MR-Advisor: A comprehensive tuning, profiling, and prediction tool for MapReduce execution frameworks on HPC clusters
MapReduce is the most popular parallel computing framework for big data processing which
allows massive scalability across distributed computing environment. Advanced RDMA …
allows massive scalability across distributed computing environment. Advanced RDMA …
On a software-based self-test methodology and its application
Software-based self-test (SBST) was originally proposed for cost reduction in SOC test
environment. Previous studies have focused on using SBST for screening logic defects …
environment. Previous studies have focused on using SBST for screening logic defects …
Boldio: A hybrid and resilient burst-buffer over lustre for accelerating big data i/o
The limitation of local storage space in the HPC environments has placed an unprecedented
demand on the performance of the underlying shared parallel file systems. This has …
demand on the performance of the underlying shared parallel file systems. This has …
Maximizing the benefit of RDMA at end hosts
RDMA is increasingly deployed in data center to meet the demands of ultra-low latency, high
throughput and low CPU overhead. However, it is not easy to migrate existing applications …
throughput and low CPU overhead. However, it is not easy to migrate existing applications …
Convergence of high performance computing, big data, and machine learning applications on containerized infrastructures
P Liu - 2023 - upcommons.upc.edu
(English) The convergence of High Performance Computing (HPC), Big Data (BD), and
Machine Learning (ML) in the computing continuum is being pursued in earnest across the …
Machine Learning (ML) in the computing continuum is being pursued in earnest across the …
MR-Advisor: A comprehensive tuning tool for advising HPC users to accelerate MapReduce applications on supercomputers
MapReduce is the most popular parallel computing framework for big data processing which
allows massive scalability across distributed computing environment. Advanced RDMA …
allows massive scalability across distributed computing environment. Advanced RDMA …
Program simplification as a means of approximating undecidable propositions
We describe an approach which mixes testing, slicing, transformation and formal verification
to investigate speculative hypotheses concerning a program, formulated during program …
to investigate speculative hypotheses concerning a program, formulated during program …