IEEE Micro · 2013 · 41 citations · 19 references
EngineeringComputer EngineeringComputer ScienceComputer ArchitectureLow-power DesignReconfigurable ComputingAccelerator ArchitectureHardware AccelerationNear-threshold ComputingPower ManagementProcessor Core DesignReconfigurable AcceleratorsAccelerator MicroarchitectureAcceleratorsLow-power MicroarchitectureNear-threshold VoltagePerformance LimitsPower-efficient DesignReconfigurable Logic ArchitectureThreshold Voltage
Near-threshold operation can increase the number of simultaneously active cores at the expense of much lower operating frequency ("dim silicon"), but dim cores suffer from diminishing returns as the number of cores increases. At this point, hardware accelerators become more efficient alternatives. To explore such a broad design space, the authors present an analytical model to quantify the performance limits of many-core, heterogeneous systems operating at near-threshold voltage. The model augments Amdahl's law with detailed scaling of frequency and power, calibrated by circuit-level simulations using a modified Predictive Technology Model (PTM), and factors in the effects of process variations. Results show that dim cores do indeed boost throughput, even in the presence of process variations, but significant benefits are achieved only in applications with high parallelism or novel architectures to mitigate variation. Reconfigurable logic that supports a variety of accelerators is more beneficial than "dim cores" or dedicated, fixed-logic accelerators, unless the kernel targeted by fixed logic has overwhelming coverage across applications, or the speedup of the dedicated accelerator over the reconfigurable equivalent is significant.
19
Sheng Li, Jung Ho Ahn, Richard Strong et al. · 2009 · 2.4K citations
Dark silicon and the end of multicore scaling
Hadi Esmaeilzadeh, Emily Blem, Renée St. Amant et al. · 2011 · 1.5K citations
Amdahl's Law in the Multicore Era
Michael R. Marty · Computer · 2008 · 1.2K citations
Shekhar Borkar, Andrew A. Chien · Communications of the ACM · 2011 · 958 citations
Understanding sources of inefficiency in general-purpose chips
Rehan Hameed, Wajahat Qadeer, Megan Wachs et al. · 2010 · 394 citations