A key feature of Modular Multilevel Converters (MMC) is the continuous and independent nature of the branch currents. Therefore, a decoupled control of the line and partial bus currents is possible, unlike for classical topologies. To this end, several con ...
Scale-out server workloads benefit from many-core processor organizations that enable high throughput thanks to abundant request-level parallelism. A key characteristic of these workloads is the large instruction footprint that exceeds the capacity of priv ...
Computational neuroscience is a branch of the neurosciences that attempts to elucidate the principles underlying the operation of neurons with the help of mathematical modeling. In contrast with a number of fields pursuing a tightly related goal, such as m ...
L1 instruction-cache misses pose a critical performance bottleneck in commercial server workloads. Cache access latency constraints preclude L1 instruction caches large enough to capture the application, library, and OS instruction working sets of these wo ...
Self-organizing bio-inspired systems borrow three structural principles characteristic of living organisms: multicellular architecture, cellular division, and cellular differentiation. Implemented in silicon according to these principles, our cellular syst ...
