The RIVER (Research Infrastructure to explore Volatility, Energy-efficiency, and Resilience) system is a shared testbed with a dynamic range of power, performance, and reliability, enabling computer science researchers to explore the properties of future systems at realistic scale and create novel solutions that addresses performance, efficiency, resilience, and elasticity at every level of abstraction.
RIVER enables intelligent control of hardware system properties to achieve an application objective, as well as flexible response by software and applications to imposed hardware properties.
The RIVER system is available to Computer Science researchers at UChicago, but particularly those in the Department of Computer Science.
Example Research Experiments involve: (1) Large dynamic range of compute, memory, storage (Gigaops to Teraops, 10W to 10kW, GB to 10TB DRAM) RIVER supports a range of standard usage models (batch, 1-node big data, interactive and low-level experiments) | Hardware Configuration Each RIVER compute nodes consists of:
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