CS 534 ME

Reading: Grochowski and Annavaram, "Energy Per Instruction Trends in Intel® Microprocessors", Technology@Intel, 2005

Media: Slides

Readings (read two, review one):

• Esmaeilzadeh et al., "Dark Silicon and the End of Multicore Scaling", ISCA, 2011
• Naffziger et al., "Pioneering Chiplet Technology and Design for the AMD EPYC™ and Ryzen™ Processor Families", ISCA, 2021
• Halpern et al., "Mobile CPU's Rise to Power: Quantifying the Impact of Generational Mobile CPU Design Trends on Performance, Energy, and User Satisfaction", HPCA, 2016

Media: Slides

Readings (read two, review one):

• Jiménez and Lin, "Dynamic Branch Prediction with Perceptrons", HPCA, 2001
• Kumar et al., "Core Architecture Optimization for Heterogeneous Chip Multiprocessors", PACT, 2006
• Blem et al., "Power Struggles: Revisiting the RISC vs. CISC Debate on Contemporary ARM and x86 Architectures", HPCA, 2013
• Grayson et al., "Evolution of the Samsung Exynos CPU Microarchitecture", ISCA, 2020

Media: Slides

Readings (read two, review one):

• Power et al., "Supporting x86-64 Address Translation for 100s of GPU Lanes", HPCA, 2014
• Usui et al., "DASH: Deadline-Aware High-Performance Memory Scheduler for Heterogeneous Systems with Hardware Accelerators", TACO, 2016
• Seshadri et al., "Ambit: In-Memory Accelerator for Bulk Bitwise Operations Using Commodity DRAM Technology", MICRO, 2017

Media: Slides

Media: Slides

Readings (read two, review one):

• Hameed et al., "Understanding Sources of Inefficiency in General-Purpose Chips", ISCA, 2010
• Shao et al., "Aladdin: A Pre-RTL, Power-Performance Accelerator Simulator Enabling Large Design Space Exploration of Customized Architectures", ISCA, 2014
• Hill and Reddi, "Gables: A Roofline Model for Mobile SoCs", HPCA, 2019
• Wei et al., "Cohort: Software-Oriented Acceleration for Heterogeneous SoCs", ASPLOS, 2023

Media: Slides

Media: Slides

Media: Slides

Readings (read two, review one):

• Chen et al., "SMART: A Single-Cycle Reconfigurable NoC for SoC Applications", DATE, 2013
• Tan et al., "Stitch: Fusible Heterogeneous Accelerators Enmeshed with Many-Core Architecture for Wearables", ISCA, 2018
• Krishnan et al., "Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks", JETCS, 2021

Media: Slides

Media: Slides

Media: Slides

Readings (read two, review one):

• Chen et al., "Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices", JETCAS, 2019
• Boroumand et al., "Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks", PACT, 2021
• Tambe et al., "EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference", MICRO, 2021
• Taranco et al., "δLTA: Decoupling Camera Sampling from Processing to Avoid Redundant Computations in the Vision Pipeline", MICRO, 2023

Media: Slides

Required Reading: Li et al., "Edge-Oriented Computing Paradigms: A Survey on Architecture Design and System Management", CSUR, 2019

Readings (read one, review one):

• Richins et al., "Missing the Forest for the Trees: End-to-End AI Application Performance in Edge Data Centers", HPCA, 2020
• Li et al., "Circular Reconfigurable Parallel Processor for Edge Computing", ISCA, 2024

Media: Slides

Media: Slides