OSCAR 2024 Workshop - Program

9:00-9:30: Opening Remarks
PRESENTATION

9:30-10:30: Session I - Design Frameworks

1. Kalhan Koul, Jackson Melchert, Keyi Zhang, Taeyoung Kong, Maxwell Strange, Olivia Hsu, Qiaoyi Liu, Jeff Setter, Ross Daly, Caleb Donovick, Alex Carsello, Leonard Truong, Po-Han Chen, Yuchen Mei, Zhouhua Xie, Kathleen Feng,
   Gedeon Nyengele, Dillon Huff, Kavya Sreedhar, Huifeng Ke, Ankita Nayak, Rajsekhar Setaluri, Stephen Richardson, Christopher Torng, Pat Hanrahan, Clark Barrett, Mark Horowitz, Fredrik Kjolstad and Priyanka Raina
    AHA: An Open-Source Framework for Co-design of Programmable Accelerators and Compilers
   PRESENTATION Open-Source Release URL
   
2. Joren Dumoulin, Ryan Antonio, Xiaoling Yi, Josse Van Delm, Chao Fang, Guilherme Paim and Marian Verhelst
   SNAX: An Open-Source HW-SW Codesign Framework for Heterogeneous Multi-Accelerator Compute Clusters
   PRESENTATION Open-Source Release URL
   
3. Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby Banbury, Alan V. Green, Pete Warden, Tim Ansell and Vijay Janapa Reddi
   CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (TinyML) Acceleration on FPGAs
   PRESENTATION Open-Source Release URL
   

10:30-11:00: Coffe Break

11:00-12:20: Session II – Simulation

1. Vishnu Ramadas, Matthew Poremba, Bradford Beckmann and Matthew Sinclair
     Simulation Support for Fast and Accurate Large-Scale GPGPU & Accelerator Workloads
   PRESENTATION Open-Source Release URL
   
2. Guillem López-Paradís, Jonathan Balkind, Adrià Armejach and Miquel Moreto
   Past, Present and Future of Designing, Integrating and Simulating RTL Models
   PRESENTATION Open-Source Release URL
   
3. Alex Smith, Bobby Bruce, Jason Lowe-Power and Matthew Sinclair
   Designing Generalizable Power Models for Open-Source Architecture Simulators
   PRESENTATION
   
4. Mahyar Samani, Kyle Roarty, Prajwal Rathnakar Hegde, Galen M. Shipman, Giridhar Chukkapalli and Jason Lowe-Power
   Developing Known Good HPC Platforms in gem5
   
   
   

12:30-14:00: Lunch

14:00-14:40: Session III – Accelerators

1. Nicolas Bohm Agostini, Ankur Limaye, Reece Neff, Lakshmi Varshika Mirtinti, Claudio Barone, Vito Giovanni Castellana, Marco Minutoli, Joseph Manzano, Antonino Tumeo, Giovanni Gozzi, Michele Fiorito, Serena Curzel and Fabrizio Ferrandi
     SODA Synthesizer: Status and Updates
   PRESENTATION Open-Source Release URL
   
2. Subhankar Pal, Aporva Amarnath, Behzad Boroujerdian, Augusto Vega, Alper Buyuktosunoglu, John-David Wellman, Vijay Janapa Reddi and Pradip Bose
   Accelerating the Discovery of Efficient Real-Time Systems-on-Chips in the Heterogeneous Era
   PRESENTATION Open-Source Release URL
   

14:40-15:00: Poster Session Lightning Talks

15:00-16:00: Poster Session

1. Jordi Altayo, Yu Yang and Ahmed Hemani
   Tile-based Heterogeneous Reconfigurable Architecture Template and Its Instruction Set
   POSTER SLIDE Open-Source Release URL
   
2. Ivan Vargas Valdivieso, Julian Pavon and Adrian Cristal
   Design and Analysis of Processing-in-Memory Sorting Algorithms using UPMEM
   POSTER SLIDE
   
3. Rodolfo Azevedo, Julio Nunes Avelar, Victor Prudente Lago and Angelo Renato Panzin Malaguti
   FPGA Continuous Integration and RISC-V Processor Design
   POSTER SLIDE
   
4. Leonid Azriel and Avi Mendelson
   Towards Open Scan for the Open-source Hardware
   POSTER SLIDE
   

16:00-17:20: Session IV – ​ Open-Source Hardware for Machine Learning

1. Varsha Singhania, Nayan Nair, Blaise Tine and Hyesoon Kim
   DNN Inference on RISC-V GPGPU
   PRESENTATION Open-Source Release URL
   
2. Allen Boston, Biruk Seyoum, Luca Carloni and Pierre-Emmanuel Gaillardon
   Edge ML Acceleration with RISCV-enhanced eFPGA-SoCs
   PRESENTATION
   
3. Stefan Abi-Karam, Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei, Hanqiu Chen, Nanditha Rao, Lizy John, Aman Arora and Cong Hao
   An Open Source Framework for High-Level Synthesis Dataset Generation for Machine Learning
   PRESENTATION Open-Source Release URL
   
4. Kuan-Lin Chiu, Guy Eichler, Chuan-Tung Lin, Giuseppe Di Guglielmo and Luca Carloni
   Wolt: Transparent Deployment of TFLite Workloads on Lightweight Many-Accelerator Architectures
   PRESENTATION Open-Source Release URL
   

17:20-18:00 : All-Hands Discussion and Concluding Remarks