IceCube Institutional Memorandum Of Uderstanding (MOU)

We will be contributing roughly $40k to a $0.5M GPU/CPU cluster in April 2016 that will enable Penn State to once again contribute to simulation production. The current plan is for the cluster to have in excess of 800 CPU cores, plus GPUs in 7 nodes (5 K80s, 2 K40s and 1 Titan X). In addition, Cowen is again a co-PI on a roughly $1M GPU-centric MRI proposal to NSF along with colleagues in astronomy, materials science, and computer science. If approved, this MRI will provide considerable resources to IceCube computing. In anticipation grant approval, the handful of GPUs we purchase in April 2016 will enable us to test IceCube code on single- and double-precision GPUs (Titan X, K40 and K80) and allow us to optimize the GPU purchase for the MRI accordingly. Cowen has also applied for 500 core-months of local CPU resources in support of IceCube and PINGU related work. (As of March 2016, no response has been received.)

Our overarching goal is to “punch above our weight” in simulation production, including simulation of low energy neutrinos with GENIE, PINGU simulations and reconstructions, and simprod jobs run collaboration-wide. Substantial amounts of reconstruction development work will also be conducted using these resources.

Note: The activities and staffing levels in this MoU are appropriate for the period beginning October 1, 2015.

The numbers in the table below in parentheses are optimistic numbers that will obtain if applications for new computational resources are approved. The smaller number is the guaranteed average number of CPUs or GPUs, the second number after the dash is the possible burst level that we could obtain. The first number in parentheses is for the local resource application, the second for the NSF MRI (see text above for details). While the main emphasis will be on PINGU, GPU-centric IceCube jobs would certainly be welcome on the MRI cluster, if it is approved.

Labor Cat.	Names	WBS L3	Tasks	Funds Source	WBS 2.1	WBS 2.2	WBS 2.3	WBS 2.4	WBS 2.5	Grand Total
					Program Management	Detector Maintenance & Operations	Compuing & Data Management	Triggering & Filtering	Data Quality, Reconstruction & Simulation Tools
KE	COWEN, DOUG	Education & Outreach	Education & Outreach	Inst. In-Kind	0.05					0.05
		Engineering and R&D	PINGU Co-Lead	Inst. In-Kind	0.35					0.35
	COWEN, DOUG Total				0.40					0.40
SC	ANDERSON, TYLER	Data Acquisition	DAQ Firmware Development	NSF M&O Core		0.23				0.23
	ANDERSON, TYLER Total					0.23				0.23
PO	ELLER, PHILIPP	Simulation Production	Simulation Production	Base Grants			0.08			0.08
		Reconstruction/ Analysis tools	Develop analysis tools for systematics study; PISA development	Base Grants					0.20	0.20
		Detector Monitoring	Monitoring Shifts	Base Grants		0.03				0.03
		Computing Resources	Coordination and Support Grid distributed computing	NSF M&O Core			0.25			0.25
	ELLER, PHILIPP Total					0.03	0.33		0.20	0.56
	KEIVANI, AZADEH	Reconstruction/ Analysis tools	Integrate IceCube into AMON	Inst. In-Kind					0.25	0.25
	KEIVANI, AZADEH Total								0.25	0.25
GR	HUANG, FEIFEI	Reconstruction/ Analysis tools	Develop analysis tools for systematics study; PISA development	Inst. In-Kind					0.20	0.20
		Detector Monitoring	Monitoring Shifts	Base Grants		0.03				0.03
	HUANG, FEIFEI Total					0.03			0.20	0.23
	LANFRANCHI, JUSTIN	Reconstruction/ Analysis tools	Low energy event reconstruction quality; PISA development	Inst. In-Kind					0.47	0.47
		Detector Monitoring	Monitoring Shifts	Inst. In-Kind		0.03				0.03
	LANFRANCHI, JUSTIN Total					0.03			0.47	0.50
	PANKOVA, DARIA	Data Acquisition	DAQ electronics hardware and firmware	Inst. In-Kind		0.47				0.47
		Detector Monitoring	Monitoring Shifts	Inst. In-Kind		0.03				0.03
	PANKOVA, DARIA Total					0.50				0.50
PSU Total					0.40	0.82	0.33	0.00	1.12	2.67

	2016		2017
	CPU Cores	GPU Cores	CPU Cores	GPU Cores
IceCube
PINGU	50-800 (40; 400)	1-6 K80, 1 TitanX (0; 50)
High E Array