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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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About me
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Short description of portfolio item number 1
Short description of portfolio item number 2
Published in Young Architects Workshop, 2022
We propose a novel resilience analysis framework targeting DNN accelerator design.
Recommended citation: J. Wang, A. Mahmoud, D. Brooks, and G. Wei, "A Dataflow-Aware Fault Resilience Analysis Framework for Deep Neural Network Accelerators," in Young Architects Workshop, 2022. https://jaylenwang7.github.io/files/YArch_22.pdf
Published in Career Workshop for Inclusion and Diversity in Computer Architecture, 2022
Recommended citation: S. Rangarajan, X. Chen, P. Patel, J. Wang, and A. Sriraman, "Designing Equitable Data Center Scheduling Systems," in Career Workshop for Inclusion and Diversity in Computer Architecture, 2022. https://jaylenwang7.github.io/files/CWIDCA_2022.pdf
Published in 1st Workshop on NetZero Carbon Computing, 2023
Recommended citation: J. Wang, U. Gupta, and A. Sriraman, "Characterizing Datacenter Server Generations for Lifetime Extension and Carbon Reduction," in Workshop on NetZero Carbon Computing, 2023. https://jaylenwang7.github.io/files/NetZero_23.pdf
Published in 1st Workshop on Hot Topics in System Infrastructure, 2023
Recommended citation: J. Wang, U. Gupta, and A. Sriraman, "Giving Old Servers New Life at Hyperscale," in Workshop on Hot Topics in System Infrastructure, 2023. https://jaylenwang7.github.io/files/HotInfra_23.pdf
Published in 2nd Workshop on Sustainable Computer Systems, 2023
Recommended citation: J. Wang, U. Gupta, and A. Sriraman, "Peeling Back the Carbon Curtain: Carbon Optimization Challenges in Cloud Computing," in Workshop on Sustainable Computer Systems, 2023. https://jaylenwang7.github.io/files/HotCarbon_23-1.pdf
Published in 2nd Workshop on Sustainable Computer Systems, 2023
Recommended citation: J. Lyu, J. Wang, K. Frost, C. Zhang, C. Irvene, E. Choukse, R. Fonseca, R. Bianchini, F. Kazhamiaka, and D. Berger, "Myths and Misconceptions Around Reducing Carbon Embedded in Cloud Platforms," in Workshop on Sustainable Computer Systems, 2023. https://jaylenwang7.github.io/files/HotCarbon_23-2.pdf
Published in 51st International Symposium on Computer Architecture (ISCA), 2024
Recommended citation: J. Wang, D. Berger, F. Kazhamiaka, C. Irvene, C. Zhang, E. Choukse, K. Frost, R. Fonseca, B. Warrier, C. Bansal, J. Stern, R. Bianchini, and A. Sriraman, "Designing Cloud Servers for Lower Carbon," in International Symposium on Computer Architecture, 2024. https://jaylenwang7.github.io/files/GreenSKU_ISCA24.pdf
Research Project, Harvard Architecture, Circuits, and Compilers Group, 2021
A current research project I’m leading within the Harvard Architecture, Circuits, and Compilers Group with the help of Abdulrahman Mahmoud. The project aims to develop a software framework for analyzing a DNN accelerator’s resilience to errors (particularly bit flips caused by soft errors). The project’s novel approach is to use dataflow loop nest analysis to understand how an erroneous value in the memory hierarchy will be reused at the software-visible output activation level.
Research Project, Harvard Architecture, Circuits, and Compilers Group, 2021
A previous research project I led as an Undergraduate within the Harvard Architecture, Circuits, and Compilers Group with the help of Udit Gupta. The project aimed to better understand the manufacturing carbon footprint of crypto mining hardware and how ASIC designs of mining algorithms leads to interesting emissions characteristics.
Research Project, CMU STARLab, 2022
I’m currently leading a research project that is researching ways to reduce the environmental impact of datacenters, particularly centering around reducing the embodied emissions of hardware used in datacenters/hyperscale systems as well as reducing the waste generated from this hardware.
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Undergraduate math course, Harvard University, Math Department, 2019
Math 1B is a course taught by the Mathematics Department at Harvard. I had the pleasure of working with Dr. Hakim Walker, as I helped to lead discussions in his section, hosted office hours, and graded psets.
Undergraduate CS course, Harvard University, Computer Science Department, 2020
CS 61 is the introductory systems programming class at Harvard, normally with around 200 students enrolled. Main topics include: C, C++, and assembly language programming, performance analysis and improvement strategies, memory management, caching, concurrency, threads, and synchronization. The class is taught by Professor Eddie Kohler with around 15-20 teaching fellows every year (of which I’m one!).
Undergraduate Controls course, Harvard University, Electrical Engineering Department, 2020
ES 155 is the introductory systems and control class at Harvard. The class covers topics ranging from system modeling (with state-space representation), to stability analysis, to feedback controller design (PID controllers). I had the pleasure of working with Professors Li Na and Yue Lu.
Undergraduate EE course, Harvard University, Electrical Engineering Department, 2021
ES 50 is the introductory electrical engineering class at Harvard. The class covers material ranging from introductory circuit design (resistor circuits, op amps, RLC) to digital logic (FSMs, boolean logic). I had the pleasure of working with professors Chris Lombardo and Marko Loncar.
Undergraduate EE course, Harvard University, Electrical Engineering Department, 2021
ES 152 is a core course for electrical engineering concentrators at Harvard. The class covers core circuit theory principles (KCL, RLC, amplifiers) and the fundamentals of semiconductor devices (BJTs, MOSFETs, transistor circuits) with the goal of modeling, analyzing, and applying the analog behavior of devices. I had the pleasure of working with Professors Gage Hills and Woodward Yang.