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Stampede2, generously funded by the National Science Foundation (NSF) through award ACI-1540931, is one of the Texas Advanced Computing Center (TACC), University of Texas at Austin's flagship supercomputers. Stampede2 entered full production in the Fall 2017 as an 18-petaflop national resource that builds on the successes of the original Stampede system it replaces. The first phase of the Stampede2 rollout featured the second generation of processors based on Intel's Many Integrated Core (MIC) architecture. Stampede2's 4,200 Knights Landing (KNL) nodes represent a radical break with the first-generation Knights Corner (KNC) MIC coprocessor. Unlike the legacy KNC, a Stampede2 KNL is not a coprocessor: each 68-core KNL is a stand-alone, self-booting processor that is the sole processor in its node. Phase 2 added to Stampede2 a total of 1,736 Intel Xeon Skylake (SKX) nodes. The final phase of Stampede2 features the replacement of 448 KNL nodes with 224 Ice Lake nodes.

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The Stampede2 Dell/Intel Knights Landing (KNL), Skylake (SKX) System provides the user community access to two Intel Xeon compute technologies.

The system is configured with 4204 Dell KNL compute nodes, each with a stand-alone Intel Xeon Phi Knights Landing bootable processor. Each KNL node includes 68 cores, 16GB MCDRAM, 96GB DDR-4 memory and a 200GB SSD drive.

Stampede2 also includes 1736 Intel Xeon Skylake (SKX) nodes and additional management nodes. Each SKX includes 48 cores, 192GB DDR-4 memory, and a 200GB SSD.

Allocations awarded on Stampede2 may be used on either or both of the node types.

Compute nodes have access to dedicated Lustre Parallel file systems totaling 28PB raw, provided by Cray. An Intel Omni-Path Architecture switch fabric connects the nodes and storage through a fat-tree topology with a point to point bandwidth of 100 Gb/s (unidirectional speed). 16 additional login and management servers complete the system. Stampede2 will deliver an estimated 18PF of peak performance.

Please see the Stampede2 User Guide for detailed information on the system and how to most effectively use it.