Exploring cutting-edge research in the field of compiler construction, optimization, and verification.
We are back to in-person meetings this semester! We are still looking to fill several presentation slots, so please reach out if you are interested!
|When:||Mondays 4:30–5:30pm (CST)|
|Where:||Siebel Center, Room 4124 (or via zoom)|
|Faculty:||Charith Mendis, Vikram Adve, Sasa Misailovic, Gagandeep Singh, Lawrence Rauchwerger|
|Organizers:||Vimarsh Sathia, Benjamin Darnell|
Topics of interest include, but are not limited to:
This seminar features student presentations on in-progress or published research, as well as invited external academic and industry speakers. Students enrolled in the seminar for credit are required to present at least once, and may choose to either present their own work or a published paper from a related journal or conference (e.g., PLDI, PPOPP, ASPLOS).
Interested in sharing your work? Send an email to the organizers with the title of your presentation and a link to your paper (if applicable).
|Aug 21||Charith Mendis||Organization Meeting|
|Sept 4||Labor Day (no class)|
|Sept 11*||Yifan Zhao||ApproxCaliper: A Programmable Framework for Application-Aware Neural Network Optimization||Video|
|Sept 18||Stefanos Baziotis||A Fast In-Place Interpreter for WebAssembly||Video|
|Haoyang Zhang||RipTide: A Programmable, Energy-Minimal Dataflow Compiler and Architecture|
|Sept 25*||Randy Huang, Hongbin Zheng (AWS)||A Deep Learning Compiler for Systolic Array based Accelerators|
|Oct 2||Jacob Laurel||Abstractly Interpreting Differentiable Programming||Video|
|Oct 9||Jason Ansel (Meta)||PyTorch 2.0: Faster Machine learning through dynamic Python bytecode translation and graph compilation||Video|
|Oct 16||Adrian Sampson (Cornell)||The Next 700 Accelerator Design Languages||Video|
|Oct 23||Rohan Yadav (Stanford)||Distributed Sparse Computing in Python|
|Oct 30||Muchen Xu||Hydride: A Retargetable and Extensible Synthesis-based Compiler for Modern Hardware Architectures|
|Nov 6||Vir Narula||Pin or Fuse? Exploiting Scratchpad Memory to Reduce Off-Chip Data Transfer in DNN Accelerators|
|Muyan Hu||EinNet: Optimizing Tensor Programs with Derivation-Based Transformations|
|Nov 20||Fall Break (no class)|
|Nov 27||Jaeyeon Won (MIT)||The Continuous Tensor Abstraction: Where Indices are Real|
|Dec 4||Milind Kulkarni (Purdue)||Beyond Polyhedra: Optimizing Irregular Programs|
|Dec 11||Finals Week (no class)|
*5–6 pm in Room 2405 (Siebel)
See the archive for previous iterations.