The Advanced Data Analytics and Parallel Technologies (ADAPT) Lab has been started in 2011 with the aim to disseminate high quality research in the area of Big Data Analytics. We primarily work in the research areas related to High Performance Computing and Data Mining, as stated above. Our articles have been published in various top tier conferences (IEEE Cluster, IEEE Big Data, IEEE/ACM/ASA DSAA, ICDCN, etc.) and journals. (See publications for complete list).
Click here to see our GitHub page.
Applications are invited for LOP/SOP for the upcoming I Semester 2022-23 in ADAPT LAB under Prof. Navneet Goel and Prof. Poonam Goyal
32 node cluster | IBM x3250 M4 server, Intel Xeon Quad core 3.2 GHz Hyper Threaded Processor, 32 GB RAM, 2.2 TB HDD |
16 node cluster | HP Proliant DL 140, Two Intel Xeon dual core 2.92 GHz Processors, 16 GB RAM, 160 GB HDD |
48-core SMP | HP Proliant DL 580 gen8, Four Intel Xeon 12 core 2.29 GHz Hyper Threaded Processors, 192 GB RAM, 600 GB HDD |
12-core SMP | Dell PowerEdge T710, Two Intel Xeon Hex core 2.92 GHz Processors, 32 GB RAM, 2.2 TB HDD |
NAS | EMC2 VNXe 3100-Network Attached Storage Server - Capacity (36 TiB, Usable 21 TiB) |
Software | Intel Cluster Studio XE 2013 |
Vampir 8.4 Trace Analyzer | |
ROCKS Cluster Distribution |
Blockchain and Web3 Innovation Laboratory (BWI)
Artificial Intelligence and Machine Learning Laboratory (AIM)
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