Mikko Lipasti
University of Wisconsin-Madison
H-index: 47
North America-United States
Top articles of Mikko Lipasti
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
TNT: A Modular Approach to Traversing Physically Heterogeneous NOCs at Bare-wire Latency | ACM Transactions on Architecture and Code Optimization | Gokul Subramanian Ravi Tushar Krishna Mikko Lipasti | 2023/7/19 |
Turn-based Spatiotemporal Coherence for GPUs | ACM Transactions on Architecture and Code Optimization | Sooraj Puthoor Mikko H Lipasti | 2023/7/19 |
TailWAG: Tail Latency Workload Analysis and Generation | Heng Zhuo Mikko Herman Lipasti | 2023/2/25 | |
Energy-efficient Bayesian inference using bitstream computing | IEEE Computer Architecture Letters | Soroosh Khoram Kyle Daruwalla Mikko Lipasti | 2023/2/14 |
Work-in-Progress: NoRF: A Case Against Register File Operands in Tightly-Coupled Accelerators | David J Schlais Heng Zhuo Mikko H Lipasti | 2022/10/7 | |
PrGEMM: A Parallel Reduction SpGEMM Accelerator | Chien-Fu Chen Mikko Lipasti | 2022/6/6 | |
Information Bottleneck-Based Hebbian Learning Rule Naturally Ties Working Memory and Synaptic Updates | arXiv preprint arXiv:2111.13187 | Kyle Daruwalla Mikko Lipasti | 2021/11/24 |
Accelerating deep learning with dynamic data pruning | arXiv preprint arXiv:2111.12621 | Ravi S Raju Kyle Daruwalla Mikko Lipasti | 2021/11/24 |
Micrograd: A centralized framework for workload cloning and stress testing | Gokul Subramanian Ravi Ramon Bertran Pradip Bose Mikko Lipasti | 2021/3/28 | |
Systems-on-chip with strong ordering | ACM Transactions on Architecture and Code Optimization (TACO) | Sooraj Puthoor Mikko H Lipasti | 2021/1/20 |
Value Locality Based Approximation With ODIN | IEEE Computer Architecture Letters | Rahul Singh Gokul Subramanian Ravi Mikko Lipasti Joshua San Miguel | 2020/6/15 |
Computer architecture allowing recycling of instruction slack time | 2020/11/10 | ||
SHASTA: Synergic HW-SW Architecture for Spatio-temporal Approximation | ACM Transactions on Architecture and Code Optimization (TACO) | Gokul Subramanian Ravi Joshua San Miguel Mikko Lipasti | 2020/9/30 |
Modeling architectural support for tightly-coupled accelerators | David J Schlais Heng Zhuo Mikko H Lipasti | 2020/8/23 | |
Coordinated Design of Workloads and Systems via Machine Learning | Gokul Subramanian Ravi Ramon Bertran Pradip Bose Mikko Lipasti | 2020/8/12 | |
Blurnet: Defense by filtering the feature maps | Ravi S Raju Mikko Lipasti | 2020/6/29 |
