LogCA: A Performance Model for Hardware Accelerators PROJECT TITLE :LogCA: A Performance Model for Hardware AcceleratorsABSTRACT:To address the Dark Silicon downside, architects have increasingly turned to special-purpose hardware accelerators to boost the performance and energy potency of common computational kernels, such as encryption and compression. Unfortunately, the latency and overhead required to off-load a computation to an accelerator sometimes outweighs the potential advantages, ensuing in a very internet decrease in performance or energy efficiency. To assist architects and programmers reason about these trade-offs, we have developed the LogCA model, a straightforward performance model for hardware accelerators. LogCA provides a simplified abstraction of a hardware accelerator characterized by 5 key parameters. We have a tendency to have validated the model against a selection of accelerators, ranging from on-chip cryptographic accelerators in Sun's UltraSparc T2 and Intel's Sandy Bridge to each discrete and integrated GPUs. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Surface potential behavior of fluorinated polyimide film under low temperature Face recognition using supervised probabilistic principal component analysis mixture model in dimensionality reduction without loss framework
