After several years of planning, Research Computing (originally known as the HPC Center) first became operational at UF in August 2004 with Phase I of the HPC cluster. Researchers quickly embraced high-performance computing so the cluster has been upgraded and expanded several times since to keep up with changing technology and user demand.
For historical information about the development of UF Research Computing, Annual Reports are available from 2006.
COMPUTE CLUSTER HISTORY
|Phase||Date||Vendor||Mfgr Model||CPU Model||Core Count||Top 500 Score||HPL RMAX||HPL RPEAK|
|I||2004 Q4||Dell||PowerEdge 1750||Intel Xeon 2.8||400||225||1,325 GFlops||2,240 GFlops|
|IIa||2005 Q4||Rackable||C1001||AMD Opteron 275||832||419||3,000 GFlops||3,700 GFlops|
|IIb||2006 Q4||Rackable||C1001||AMD Opteron 275||480||N/A|
|III||2008 Q3||Penguin||Relion R1670SA||Intel Xeon E5462 2.8GHz||896||N/A|
|IV||2011 Q1||Dell||PowerEdge C6105||AMD Opteron 4184 2.8GHz||1,536||N/A|
|HPG1||2013 Q2||Dell||PowerEdge C6145||AMD Opteron 6378 2.4GHz||16,384||493||119,300 GFlops||157,300 GFlops|
|HPG2||2015 Q4||Dell||PowerEdge SOS6320||Intel Xeon E5-2698v3 2.3GHz||29,312||113||738,100 GFlops||1,074,000 GFlops|
|HPG3||2021 Q1||Lenovo||ThinkSystem SR645||AMD EPYC 7702 2.0GHz||30,720||N/A|
|HPG3||2021 Q2||Lenovo||ThinkSystem SR645||AMD EPYC 75F3 3.0GHz||9,600||N/A|
GPU CLUSTER HISTORY
|Phase||Date||Vendor||Mfgr Model||CPU Model||Core/Card Count||Top 500 Score||HPL RMAX||HPL RPEAK|
|HPG2||2015 Q4||Dell||PowerEdge R720||nVidia Tesla K80||40||N/A|
|HPG3||2019 Q2||Exxact||Tyan S7109||nVidia GeForce 2080TI||96||N/A|
|HPG3||2019 Q3||Exxact||Tyan S7109||nVidia GeForce 2080TI||160||N/A|
|HPG3||2019 Q4||Exxact||Tyan S7109||nVidia Quadro RTX 6000||48||N/A|
|HPG3||2019 Q4||Exxact||Tyan S7109||nVidia GeForce 2080TI||304||N/A|
|HPG-AI||2021 Q1||nVidia||DGX A100||nVidia Ampere A100 - 80GB||1,120||22||17,200 TFlops||21,314.7 TFlops|
UF Apps For Research (2013-2023)
While UFApps provides a Virtual Desktop Interface (VDI) service for students and faculty to easily access and work with a large number of applications, it is not designed for faculty and graduate students to carry out complex calculations. To meet that need, UFIT Research Computing ran a separate version of UFApps where complex computations could be carried out on large data sets.
UF Apps for Research ran on Research Computing systems for ten years from December of 2013 until July of 2023.
Knights Landing (2016-2019)
Two Knights Landing (KNL) machines were acquired from Intel for a pair of fellowships concerning Intel Code Modernization. The purpose of this project was to optimize code for the Intel Xeon Phi. This was a one-year appointment starting in August of 2016. Code was developed on the systems until their retirement early in 2019.