Filters








7 Hits in 2.9 sec

Experience and performance of persistent memory for the DUNE data acquisition system [article]

Adam Abed Abud, Giovanna Lehmann, Roland Sipos
2020 arXiv   pre-print
In this paper, we characterize the performance of persistent memory devices, which use the 3DXPoint technology, in the context of the data acquisition system for one large Particle Physics experiment,  ...  An example of these technologies is 3DXPoint, which promises to fill the gap between memory and traditional storage and offers unprecedented high throughput for data persistency.  ...  We thank our colleagues from Intel® for the precious feedback and for the fruitful collaboration.  ... 
arXiv:2011.01341v1 fatcat:6vqixiwwpnbp5pnagohx2lf56a

Experience and performance of persistent memory for the DUNE data acquisition system

Adam Abed Abud, Giovanna Lehmann Miotto, Roland Sipos
2021 IEEE Transactions on Nuclear Science  
In this paper, we characterize the performance of persistent memory devices, which use the 3DXPoint technology, in the context of the data acquisition system for one large Particle Physics experiment,  ...  An example of these technologies is 3DXPoint, which promises to fill the gap between memory and traditional storage and offers unprecedented high throughput for non-volatile data.  ...  In this paper, we will focus on the performance of the Intel® Optane™ Data Center Persistent Memory Modules.  ... 
doi:10.1109/tns.2021.3084848 fatcat:6yf3yla4tndsvkm6cc6d7a36sy

Performance characterization of a DRAM-NVM hybrid memory architecture for HPC applications using intel optane DC persistent memory modules

Onkar Patil, Latchesar Ionkov, Jason Lee, Frank Mueller, Michael Lang
2019 Proceedings of the International Symposium on Memory Systems - MEMSYS '19  
Non-volatile, byte-addressable memory (NVM) has been introduced by Intel in the form of NVDIMMs named Intel ® Optane™ DC PMM.  ...  Performance characterization of a DRAM-NVM hybrid memory architecture for HPC applications using Intel Optane DC Persistent Memory Modules.  ...  Intel has been the first-to-market with their Intel ® Optane™ DC Persistent Memory Module (PMM), which is based on PCM technology.  ... 
doi:10.1145/3357526.3357541 dblp:conf/memsys/PatilILM019 fatcat:miu5qfkr3va5ppqimx22kodiou

Eurolab-4-HPC Long-Term Vision on High-Performance Computing [article]

Theo Ungerer, Paul Carpenter
2018 arXiv   pre-print
This document presents the "EuroLab-4-HPC Long-Term Vision on High-Performance Computing" of August 2017, a road mapping effort within the EC CSA1 Eurolab-4-HPC that targets potential changes in hardware  ...  Radical changes in computing are foreseen for the next decade.  ...  [8] Intel. Intel® Optane™: Supersonic memory revolution to take- off in 2016. 2016. : http://www.intel.eu/content/ www / eu / en / it -managers / non -volatile -memory - idf.html.  ... 
arXiv:1807.04521v1 fatcat:5neetrgubjhnvcajcktpkohrzq

CERN openlab annual report 2018

Purcell, Di Meglio, Carminati, Girone, Rademakers, Gunne, Baechle
2019 Zenodo  
Annual report covering CERN openlab's activities in 2018.  ...  We will test Intel ® Optane™ DC memory technology and Intel ® Optane™ DC SSD. In parallel, we will begin work to integrate the system into other experiments, such as CMS and ProtoDUNE.  ...  Dedicated servers are needed to make use of the newest hardware, such as persistent memory and NVMe SSDs.  ... 
doi:10.5281/zenodo.3234404 fatcat:qmxmccdrzfd55p5nmbzijp23i4

Accelerating ML/DL Applications with Hierarchical Caching on Deduplication Storage Clusters

Prince Hamandawana, Awais Khan, Jongik Kim, Tae-Sun Chung
2021 IEEE Transactions on Big Data  
Large scale machine learning (ML) and deep learning (DL) platforms face challenges when integrated with deduplication enabled storage clusters.  ...  In this paper, we introduce Redup, which eliminates the performance drop caused by enabling deduplication in ML/DL storage clusters.  ...  Introduction Large scale ML and DL applications rely heavily on massive datasets to train domain specific models on large-scale supercomputer machines [1] .  ... 
doi:10.1109/tbdata.2021.3106345 fatcat:xk3w5a2ye5hwpfjjezsxapvtwe

Efficient in-hardware compression of on-chip data

Amin Ghasemazar
2021
In order to efficiently compress on-chip data, the compression mechanisms need to leverage all relevant data stored in on-chip memory.  ...  Similar trends exist in special-purpose computing systems, with only up to tens of megabytes of on-chip memory available in most recent AI accelerators.  ...  In MICRO, 1997. [224] Anil Shanbhag, Nesime Tatbul, David Cohen, and Samuel Madden. Large-scale in-memory analytics on intel® optane™ dc persistent memory.  ... 
doi:10.14288/1.0404515 fatcat:nxtj5xz4yffm7inyjyp7k6caem