TY - GEN
T1 - ICE
T2 - 2018 Practice and Experience in Advanced Research Computing Conference: Seamless Creativity, PEARC 2018
AU - Belgin, Mehmet
AU - Liu, Fang
AU - Lara, Ruben
AU - Nightingale, Trever C.
AU - Wan, Peter
AU - Manno, Paul
AU - Mercer, David A.
AU - McNeill, Andre C.
AU - Bright, Neil
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/7/22
Y1 - 2018/7/22
N2 - Georgia Tech's “Partnership for an Advanced Computing Environment (PACE)” team provides research computing resources, support and consultation for the entire campus and external collaborators. In response to a campus-wide demand, PACE initiated a project called “Instructional Cluster Environment (ICE)” to build instructional clusters to support educational efforts. These resources offer an educational environment that's identical to production clusters, and expected to provide thousands of grad/undergrad students with ample opportunities to gain first-hand scientific computing experience including HPC and GPU programming each year. Furthermore, the entire PACE scientific software repository is made accessible to all ICE students, providing an education environment that mirrors production research clusters in every aspect. The first of these clusters, funded by College of Computing (COC) technology fees, is now operational and serving 430 students. A PACE funded expansion is planned to be deployed next. We describe the ICE design, specifications, a scalable novel account management mechanism and policies to support large numbers of students with limited staff, a challenge common to many other institutions supporting their own educational resources.
AB - Georgia Tech's “Partnership for an Advanced Computing Environment (PACE)” team provides research computing resources, support and consultation for the entire campus and external collaborators. In response to a campus-wide demand, PACE initiated a project called “Instructional Cluster Environment (ICE)” to build instructional clusters to support educational efforts. These resources offer an educational environment that's identical to production clusters, and expected to provide thousands of grad/undergrad students with ample opportunities to gain first-hand scientific computing experience including HPC and GPU programming each year. Furthermore, the entire PACE scientific software repository is made accessible to all ICE students, providing an education environment that mirrors production research clusters in every aspect. The first of these clusters, funded by College of Computing (COC) technology fees, is now operational and serving 430 students. A PACE funded expansion is planned to be deployed next. We describe the ICE design, specifications, a scalable novel account management mechanism and policies to support large numbers of students with limited staff, a challenge common to many other institutions supporting their own educational resources.
KW - HPC
KW - Iam
KW - Instructional cluster
KW - Ldap
KW - Workforce development
UR - https://www.scopus.com/pages/publications/85051416911
U2 - 10.1145/3219104.3219112
DO - 10.1145/3219104.3219112
M3 - Conference contribution
AN - SCOPUS:85051416911
SN - 9781450364461
T3 - ACM International Conference Proceeding Series
BT - Practice and Experience in Advanced Research Computing 2018
PB - Association for Computing Machinery
Y2 - 22 July 2017 through 26 July 2017
ER -