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03/15/2023
MCR-DL: Mix-and-Match Communication Runtime for Deep Learning
In recent years, the training requirements of many state-of-the-art Deep...
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03/09/2023
Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version
Quantization is a popular technique used in Deep Neural Networks (DNN) i...
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02/23/2022
Shisha: Online scheduling of CNN pipelines on heterogeneous architectures
Chiplets have become a common methodology in modern chip design. Chiplet...
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12/17/2021
Mitigating inefficient task mappings with an Adaptive Resource-Moldable Scheduler (ARMS)
Efficient runtime task scheduling on complex memory hierarchy becomes in...
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05/02/2019
An Adaptive Performance-oriented Scheduler for Static and Dynamic Heterogeneity
With the emergence of heterogeneous hardware paving the way for the post...
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03/27/2018
Extreme Scale FMM-Accelerated Boundary Integral Equation Solver for Wave Scattering
Algorithmic and architecture-oriented optimizations are essential for ac...
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08/19/2012