What’s the underlying problem? Scale-out architectures don’t scale efficiently enough for users needing rapid results. Faced with eye-popping growth in required core count, firms might try a scale-up approach by adding more cores to a single compute node. But again, they’re turned back by increased latency, inter-system communication … and cost.
How to Solve the Computational Challenges of Credit Valuation Adjustment While Reducing Grid TCO is no longer available.
This free white paper unpacks how Cray technology cost efficiently speeds CVA.
The Cray® XC™ series supercomputer delivers a ready solution to the computational challenges of CVA. How? The Aries interconnect and Cray®DataWarp™ applications I/O accelerator are two Cray technologies solving these tenacious scaling and latency issues while also keeping costs under control.
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Financial institutions have long used
credit valuation adjustment (CVA) to monitor and manage counterparty
credit risk, meet regulatory and reporting requirements, and even price
and hedge CVA. In the post-2008 credit crisis world, however, this
evaluation activity has steadily increased in demand and complexity,
creating tough latency and scale challenges for firms.