| 1. |
- Hedenstierna, Nils, 1959, et al.
(författare)
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The Use of Inverse Layout Trees for Hierarchical Design Rule Checking
- 1989
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Ingår i: 26th Conference on Design Automation. - 0738-100X. - 0897913108 ; 1989:25-29 June 1989, s. 508-512
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Konferensbidrag (refereegranskat)abstract
- The inverse layout tree concept is used to perform fully hierarchical DRC without any constraints on the use of overlapping or incomplete cells that are completed at higher levels of hierarchy. Hierarchy is preserved and design rule violations are displayed in the cell where they should be corrected. The DRC is corner-based and processes 200-800 corners/second on a VAX 11/750.
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| 2. |
- Hedenstierna, Nils, 1959, et al.
(författare)
-
The Use of Inverse Layout Trees for Hierarchical Design Rule Checking
- 1988
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Ingår i: IEEE International Conference on Computer-Aided Design ICCAD. - New York, New York, USA : ACM Press. - 0738-100X. - 0897913108 ; 1988, s. 534-537
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Konferensbidrag (refereegranskat)abstract
- The inverse layout tree concept is used to perform fully hierarchical DRC without any constraints on the use of overlapping or incomplete cells that are completed at higher levels of hierarchy. Hierarchy is preserved and design rule violations are displayed in the cell where they should be corrected. The DRC is corner-based and processes 200-800 corners/second on a VAX 11/750.
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| 3. |
- Poirot, Valentin, 1994, et al.
(författare)
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BlueSeer: AI-Driven Environment Detection via BLE Scans
- 2022
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Ingår i: Proceedings - Design Automation Conference. - New York, NY, USA : ACM. - 0738-100X. ; , s. 871-876
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Konferensbidrag (refereegranskat)abstract
- IoT devices rely on environment detection to trigger specific actions, e.g., for headphones to adapt noise cancellation to the surroundings. While phones feature many sensors, from GNSS to cameras, small wearables must rely on the few energy-efficient components they already incorporate. In this paper, we demonstrate that a Bluetooth radio is the only component required to accurately classify environments and present BlueSeer, an environment-detection system that solely relies on received BLE packets and an embedded neural network. BlueSeer achieves an accuracy of up to 84% differentiating between 7 environments on resource-constrained devices, and requires only ~12 ms for inference on a 64 MHz microcontroller-unit.
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| 4. |
- Souza, Jeckson Dellagostin, et al.
(författare)
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Enhancing thread-level parallelism in asymmetric multicores using transparent instruction offloading
- 2020
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Ingår i: Proceedings - Design Automation Conference. - 0738-100X. ; 2020-July
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Konferensbidrag (refereegranskat)abstract
- Asymmetric multicore architectures (AMC) with single-ISA can accelerate multi-threaded applications by running the serial region on the big core and the parallel region on multiple small cores. In such architectures, all cores implement resource-expensive and application-specific instruction extensions (e.g., SIMD and FP). We argue that instead of implementing such extensions in the big core, the resources must be traded-off to increase the number of small cores. Furthermore, when the big core requires such instruction extensions, we offload execution to the small cores. This design mainly leverages the observation that SIMD/FP operations are more frequently executed inside parallel regions. The proposed AMC provides an additional 1.76x speedup and 12.4% energy savings compared to a traditional AMC of the same area due to enhanced thread-level parallelism (TLP) exploitation.
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