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Presentations Schedule

Written on 24.10.2026 21:01 by Basel Fakhri

Paper

Student

Mentor

Date

DistServe: Disaggregating Prefill and Decoding for Goodput optimized Large Language Model Serving      Kazemi, Mehrafarin Basel Nov 9
MPK: A Compiler and Runtime for Mega-Kernelizing Tensor Programs Sindarov, Asadbek Basel Nov 9
ThunderKittens: Simple, Fast, and Adorable AI Kernels Le, Hoang Dang Nguyen Dionysios Nov 16
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning Kooshky, Amirmohammad Dionysios Nov 23
ARC: Warp-level Adaptive Atomic Reduction in GPUs to Accelerate Differentiable Rendering Farag, Yousef Prathamesh Nov 30
throttLL’eM: Predictive GPU Throttling for Energy Efficient LLM Inference Serving Hariharan, Tarun Basel Dec 7
Efficient Memory Management for Large Language Model Serving with PagedAttention  Wang, Zirui Basel Dec 14
AttAcc! Unleashing the Power of PIM for Batched Transformer-based Generative Model Inference Patel, Nehali Sudarshan Prathamesh       Jan 11
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models K.A., Abdul Manan Dionysios Jan 18
DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency Subedi, Ashish Prathamesh Jan 25
NanoFlow: Towards Optimal Large Language Model Serving Throughput Suntoro, Marcellius William.      Dionysios Feb 1
       
       

 

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