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Computation for Data Analytics - Poster Session - SystemX 2021 Fall Conference | SystemX Alliance

Event Details:

Monday, November 8, 2021
10:00am - 11:00am PST

Location

Stanford Alumni Center, McCaw Hall
Palo Alto, CA 94305
United States

Poster #Student NamePoster TitleAdvisorPDF/Video
1 - FMAFlorian LonsingPono: A Flexible and Extensible SMT-Based Model CheckerClark BarrettPDF & Video
2 - FMALuke UptonYield Test Vehicle for Fast RRAM Resistance MeasurementBoris MurmannPDF & Video
3 - FMARaj Setaluri & Lenny TruongA Python Embedded Hardware Construction Language Designed for Productivity, Performance and CorrectnessPat HanrahanPDF & Video
4Xuhui ZhangImputation with optimal look-ahead-bias and variance trade-offJose BlanchetPDF & Video
5Akash LevyEfficient Routing for CGRAs using Multi-Pole NEM RelaysPriyanka RainaPDF & Video
6 - SeedAriana MannPeer Pressure: On-Device Learning from Soft DecisionsNicholas BambosPDF & Video
7Olivia HsuCompilation of Sparse Array Programming ModelsKunle Olukotun & Fredrik KjolstadPDF & Video
8Keshav SanthanamDistIR: An Intermediate Representation and Simulator for Efficient Neural Network DistributionMatei ZahariaPDF & Video
9Deepti RaghavanZero-Copy Serialization with NIC Scatter-GatherMatei Zaharia & Philip LevisPDF & Video
10 - FMAGreg ZanottiPattern and Anomaly Detection in Financial DataMarkus PelgerPDF & Video
11 - FMABerivan IsikNeural Network Compression for Noisy Storage DevicesTsachy WeissmanPDF & Video
12 - FMARohan DoshiAuto-DANCE: Hybrid Digital-Analog Accelerator and Network Co-SearchBoris MurmannPDF & Video
13Haitong Li3D Gain-Cell Memory: Architecture and ApplicationsPhilip WongPDF & Video
14Haitong LiSAPIENS: A 64-kb RRAM-Based Non-Volatile Associative Memory for One-Shot Learning and Inference at the EdgePhilip WongPDF & Video
15 - FMARobert Radway & Massimo GiordanoCHIMERA: A 0.92 TOPS, 2.2 TOPS/W Edge AI Accelerator with 2 MByte On-Chip Foundry Resistive RAM for Efficient Training and InferenceSubhasish Mitra & Boris MurmannPDF & Video
16 - FMAMark BenjaminA bi-fidelity approach to model variability in physical systemsGianluca IaccarianoPDF & Video

Please note: you must register for the conference in order to receive the Gather.town e-poster session link. To register, contact kagtarap@stanford.edu.

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