Red.Shift:
red.shift integrates our parallel computation toolkits to deliver an integrated risk management application with unique flexibility.
embracing change as a business need, high performance is delivered in an agile framework to allow rapid integration of custom analytics, new asset classes and data models.
designed from the ground up to exploit every opportunity for concurrency in asset valuation and risk computation, red.shift makes the most of current and
anticipated innovations in many-core CPU technology to deliver unprecedented performance.
requiring that the component toolsets used within red.shift be independently usable has ensured a uniquely open architecture, resulting in significantly lower
development costs and time to market for integration and for accommodating changing needs.
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Model.Bricks
EigenSystems presents Model.Bricks, a parallel financial analytics tooklit designed from scratch to extract the highest performance offered by modern CPUs, and a path to even greater performance as parallel computing becomes more prevalent.
Model.Bricks is the analytics framework that provides valuation and risk
measurement within Red.Shift, our risk management application – like a number of core Red.Shift components,
it can be used independently outside of the Red.Shift framework.
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Eigen.Spaces
eigen.spaces is a C++ concurrency toolkit utilizing Intel’s Thread Building Blocks and low latency network protocols, aimed at easy and economic deployment of serial, thread-safe analytics. In addition to concurrency components, eigen.spaces provides building blocks for adaptive load management and fail-safe operation.
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