Processing in Memory Course: Meeting 7: How to Evaluate Data Movement Bottlenecks - Fall'21
Processing-in-Memory Course: Lecture 5: How to Evaluate Data Movement Bottlenecks - Spring 2022
PIM Course: Lecture 2: How to Evaluate Data Movement Bottlenecks (Spring 2023)
ISVLSI 2022 Special Session on Processing-in-Memory
Processing-in-Memory Course: Lecture 7: Programming PIM Architectures - Spring 2022
Processing-in-Memory Course: Lecture 6: Real-world PIM: SK Hynix AiM - Spring 2022
Processing-in-Memory Course: Lecture 14: Analyzing&Mitigating ML Inference Bottlenecks - Spring 2022
DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks (21 min)
PIM Course: Lecture 1: Data-Centric Architectures: Improving Performance & Energy - Fall 2022
Processing-in-Memory Course: Lecture 12: End-to-End Framework for PuM - Spring 2022
Processing-in-Memory Course: Lecture 4: Real-world PIM: Samsung HBM-PIM Architecture - Spring 2022
Processing-in-Memory Course: Lecture 13: Bit-Serial SIMD Processing using DRAM - Spring 2022
Processing-in-Memory Course: Lecture 16: In-storage Processing for Genome Analysis - Spring 2022
Processing-in-Memory Course: Lecture 8: Benchmarking and Workload Suitability on PIM - Spring 2022
Processing-in-Memory Course: Lecture 9: Real-world PIM: Samsung AxDIMM - Spring 2022
Processing-in-Memory Course: Lecture 15: In-memory HTAP Databases with HW/SW Co-design - Spring 2022
Processing-in-Memory Course: Lecture 17: How to Enable the Adoption of PIM? - Spring 2022
Processing-in-Memory Course: Lecture 11: SpMV on a Real PIM Architecture - Spring 2022
PIM Course: Lecture 7: Real-world PIM: Samsung AxDIMM - Fall 2022
PIM Course: Lecture 1: Data-Centric Architectures: Improving Performance & Energy (Spring 2023)