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Advanced Data Analytics & Parallel Technologies Laboratory

Lab Incharge : Prof. Navneet Goyal / Prof. Jagat Sesh Challa
PhD. Student Coordinator: Sunil Kailash Yadav,  Abhinand P, Aarti, Anish, Aravind BS, Arshveer Kaur
Room Number : 6115 (New Academic Building)
Phone Number : +91-1596-25-5437

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).

Opportunities Available

Applications are invited for LOP/SOP for the upcoming I Semester 2022-23 in ADAPT LAB under Prof. Navneet Goel and Prof. Poonam Goyal

High Performance Computing Facilities

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

other labs

Blockchain and Web3 Innovation Laboratory (BWI)

Artificial Intelligence and Machine Learning Laboratory (AIM)