sessions
Presentation Preparation and Sessions
Please check the paper assignment below and remember the presentation date. Please start preparing to present your assigned paper.
Each student will present and analyze one paper (maximum 30 minutes) and lead discussion+brainstorming+feedback (maximum 20 minutes).
Please use the following algorithm to prepare for your talk:
- Step 1: Check the Sessions page: https://safari.ethz.ch/architecture_seminar/spring2024/doku.php?id=sessions
- Step 2: Check your assigned paper and presentation date.
- Step 3: Contact your Mentor #1 and Mentor #2 to schedule a meeting (do it now especially if you are presenting in Sessions S1 and S2). You need to meet mentors at least twice before you can present in class.
- Step 4: Read and analyze your paper thoroughly.
- Step 5: Discuss with anyone you wish + use any resources.
- Step 6: Prepare a draft presentation based on guidelines (Study Lecture 1 again for presentation guidelines).
- Step 7: Meet mentors and get feedback. Meetings are mandatory – you have to schedule them with your assigned mentors.
- Step 8: Revise the presentation and delivery.
- Step 9: Meet mentors again and get further feedback.
- Step 10: Draft 5 questions to be used for the short quiz and send them to the mentors.
- Step 11: Revise the presentation and delivery.
- Step 12: Practice, practice, practice.
- Step 13: Send your slides in both pdf and the source format (pptx, odp, ..) to the mentors to be uploaded to the course page before the presentation by at least two hours.
We look forward to you participating in an enjoyable seminar course this semester.
Schedule of Paper Presentations
Student Name | Session num., Date | Assigned paper | Mentor 1 | Mentor 2 |
---|---|---|---|---|
Talu Güloglu | S1.1, 16.05 | Micro-Armed Bandit: Lightweight & Reusable Reinforcement Learning for Microarchitecture Decision-Making, MICRO 2023 | Rahul Bera | Konstantinos Kanellopoulos |
Viktor Fukala | S1.2, 16.05 | GMX: Instruction Set Extensions for Fast, Scalable, and Efficient Genome Sequence Alignment, MICRO 2023 | Can Firtina | Nika Mansouri Ghiasi |
Finn Scherer | S2.1, 23.05 | MIMDRAM: An End-to-End Processing-Using-DRAM System for High-Throughput, Energy-Efficient and Programmer-Transparent Multiple-Instruction Multiple-Data Computing, HPCA 2024 | Geraldo De Oliveira Junior | Ismail Yuksel |
Jeffrey Burch | S2.2, 23.05 | BeaconGNN: Large-Scale GNN Acceleration with Asynchronous In-Storage Computing, HPCA 2024 | Rakesh Nadig | Yu Liang |
Hian Leng Kek | S3.1, 30.05 | Spatial Variation-Aware Read Disturbance Defenses: Experimental Analysis of Real DRAM Chips and Implications on Future Solutions, HPCA 2024 | Abdullah Giray Yağlıkçı | Haocong Luo |
sessions.txt · Last modified: 2024/04/13 08:01 by liangyu