Short Bio
Tanfer Alan received his Ph.D. (Dr.-Ing.) in Computer Science from the Karlsruhe Institute of Technology (KIT), Germany, under the supervision of Prof. Dr. Jörg Henkel in July 2021. Currently, he is a postdoctoral researcher at the Chair for Embedded Systems at KIT. His main research interests are on circuits and architectures for approximate computing, cross-layer design space exploration and automation with a special focus on runtime accuracy configuration.
Tanfer Alan received his B.Sc. degree from Hacettepe University, Turkey, in 2011 and his M.Sc. degree from TU Darmstadt, Germany, in 2014. Before joining CES, he has made internships at Texas Instruments Germany and Intel Labs in the U.S.
Publications
| Journals | |
|---|---|
| Tanfer Alan, Jörg Henkel Probability-Driven Evaluation of Lower-Part Approximation Adders in IEEE Transactions on Circuits and Systems II: Express Briefs (Volume 69, Issue 1), DOI, PDF, Jan 2022. Open Source Contribution | |
| Tanfer Alan, Andreas Gerstlauer, Jörg Henkel Cross-Layer Approximate Hardware Synthesis for Runtime Configurable Accuracy in IEEE Transactions on Very Large Scale Integration (VLSI) Systems (Volume 29, Issue 6), DOI, PDF, Apr 2021. | |
| Tanfer Alan, Jörg Henkel SlackHammer: Logic Synthesis for Graceful Errors Under Frequency Scaling in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) (Volume 37, Issue 11), ESWEEK Special Issue, DOI, PDF, Nov 2018. Additional material: Poster (pdf), Presentation (pptx) |   |
| Conferences | |
|---|---|
| Tanfer Alan, Andreas Gerstlauer, Jörg Henkel Runtime Accuracy-Configurable Approximate Hardware Synthesis Using Logic Gating and Relaxation (IP) in IEEE/ACM 23rd Design, Automation and Test in Europe Conference (DATE'20), Grenoble, France, DOI, PDF, Mar 9-13 2020. |  |
| Workshop | |
|---|---|
| Jorge Castro-Godínez, Tanfer Alan and Jörg Henkel ApproxiMath: Approximating Math Functions with Polynomial Series to Improve Performance on Accurate Hardware In 7th Workshop on Approximate Computing (AxC22),(Co-located with DAC'22), (accepted to appear), Jul 2022. |
| WiP | |
|---|---|
| Tanfer Alan, Jorge Castro-Godínez and Jörg Henkel Multiple Approximate Instances in Neural Processing Units for Energy-Efficient Circuit Synthesis (WiP) in 2021 International Conference on Compilers, Architectures and Synthesis For Embedded Systems (CASES), DOI, PDF, Sep 2021. |
| PhD Thesis | |
|---|---|
| Tanfer Alan Cross-Layer Automated Hardware Design for Accuracy-Configurable Approximate Computing Dissertationsschrift der Universität Karlsruhe, Fakultät für Informatik, Institut für Technische Informatik, DOI, PDF, 2021. |
Previous publications
| Patents |
|---|
| Teahyung Lee, Myung Hwangbo, Tanfer Alan, Omesh Tickoo, Ravishankar Iyer Method and system of low-complexity histogram of gradients generation for image processing Patent link |
| Conferences |
|---|
| Teahyung Lee, Myung Hwangbo, Tanfer Alan, Omesh Tickoo, Ravishankar Iyer Low-Complexity HOG for Efficient Video Saliency in IEEE International Conference on Image Processing (ICIP), Quebec City, QC, Canada, 27-30 Sept. 2015. |
Teaching
| Laboratory: | Software Entwicklung (PSE) 2016 - 2020 Internet of Things (IoT) WS21/22 |
| Seminar: | Approximate Computing 2016 - 2021 |
