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Mikko H. Lipasti

University of Wisconsin-Madison
Carnegie Mellon University

159

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5340

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Accelerating Deep Learning with Dynamic Data Pruning

2021 arXiv: Learning
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BlurNet: Defense by Filtering the Feature Maps

2020 DSN | Dependable Systems and Networks
- Ravi S. Raju
- Mikko H. Lipasti
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SHASTA: Synergic HW-SW Architecture for Spatio-temporal Approximation

2020 ACM Transactions on Architecture and Code Optimization
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Modeling Architectural Support for Tightly-Coupled Accelerators

2020 ISPASS | International Symposium on Performance Analysis of Systems and Software
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Value Locality based Approximation with ODIN

2020 IEEE Computer Architecture Letters
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MicroGrad: A Centralized Framework for Workload Cloning and Stress Testing

2020 arXiv: Hardware Architecture
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BitSAD v2: Compiler Optimization and Analysis for Bitstream Computing

2019 ACM Transactions on Architecture and Code Optimization
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REMODEL: Rethinking Deep CNN Models to Detect and Count on a NeuroSynaptic System

2019 Frontiers in Neuroscience
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BitBench: a benchmark for bitstream computing.

2019 LCTES | Languages, Compilers, and Tools for Embedded Systems
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BlurNet: Defense by Filtering the Feature Maps

2019 arXiv: Learning
- Ravi Raju
- Mikko H. Lipasti
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Citations (4)