Design Engineer
Current- Working on the architecture and micro-architecture of machine learning accelerators
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Shrihari G is listed as Design Engineer at Silicon Labs | MS-PhD, ECE at UT Austin | ML Accelerators and Power architecture at Silicon Labs, based in Austin, Texas, United States. AeroLeads shows a matched LinkedIn profile for Shrihari G.
Shrihari G previously worked as Design Engineer at Silicon Labs and Graduate Research Assistant at Cockrell School Of Engineering, The University Of Texas At Austin. Shrihari G holds Doctor Of Philosophy - Phd, Computer Engineering from The University Of Texas At Austin.
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Driven by my zeal for Silicon Design, I am primarily an RTL Design Engineer who can cross boundaries from Micro-architecture to defining novel hardware architectures as well as performing formal verification. I have a strong hold on Machine Learning Hardware Accelerators, Computer Architecture, VLSI Design, and Formal Design Verification. I have worked in both front-end and back-end VLSI design (RTL2GDS). My primary research interest is in the area of Computer Architecture, spanning Reconfigurable Architectures - FPGA, CGRAs, Hardware Accelerators, and Heterogenous Computing. I am an open-source hardware design enthusiast emphasizing freedom to chip design and also work on Physical Design with Open source tools. Additionally, I contribute to open-source projects in building the ecosystem around High-Level HDLs and developing Design and Verification Flow Methodologies. As an Embedded hobbyist, I also work with the Internet of Things, Home Automation, etc.,I have always firmly believed in high-school education beyond classrooms and I founded Technowiz, which was solely for offering innovatively crafted STEM courses to young minds at high schools in India. I look forward to creating a valid imprint on innovation and trying to address unresolved engineering challenges.
Listed skills include Bluespec System Verilog, Tanner Eda, Cadence Virtuoso, Computer Architecture, and 64 others.
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A career timeline built from the work history available for this profile.
Austin, Tx, Us
- Working on the architecture and micro-architecture of machine learning accelerators
Austin, Tx, Us
- Working on Workload-based Power-Energy Optimization on FDSOI systems- Currently, performing studies for deriving optimal design-time strategies driven by optimal workload based run-time strategies for digital subsystems consisting of RISC-V CPUs, ML Accelerators, IO Peripherals, CPU+Accelerators
Austin, Tx, Us
- Modeled a next-generation Low Power Machine Learning on the Edge Accelerator, and profiled across several TFLite-Micro Models, deriving insights about the architectural features and comparisons with earlier architectures, and external IPs- Architected mitigations for special cases and worked on the initial stages of the micro-architecture- Developed RTL for the compute engine in the IP, verified with a System Verilog Testbench, and performed a dry run of synthesis. - Optimized the micro-architecture to achieve 20% lower power and reduced area
Austin, Tx, Us
- Course: EE306 Introduction to Computing Systems- Held weekly problem solving sessions and re-enforced fundamentals- Developed grading scripts and graded programming labs
- Developed "1st CLaaS for PYNQ FPGAs" mentored by Steve Hover, Founder - Redwood EDA, and Theodore Omtzigt, Founder - Stillwater Super Computing- 1st CLaaS on PYNQ, brings the use model of 1st CLaaS, a framework for accelerating workloads with FPGAs on Cloud, by streaming data through web protocols to PYNQ FPGAs, but with the capabilities of RPAHX (Rapid Prototyping of Hardware Accelerators on Xilinx FPGAs), an automation framework to quickly prototype a hardware accelerator and integrate on a Zynq/Microblaze based design on Xilinx FPGAs. - The framework also has automated scripts to set up and securely expose your local FPGA to the internet, through Cloudflare Zero Trust on your own domain!
Coimbatore, Tamil Nadu, In
- Offered tie-ups to High schools in the state for Robotics and Embedded Workshops- Organized and deliver hands-on sessions- We have delivered talks to over 400 students and held workshops for over 120 students
Austin, Tx, Us
- Developed custom features to support legacy projects in Silicon Labs Design Environment- Integrated conditional compilation of firmware based on test cases and migrated Redpine Development Flow to Silicon Labs Design Environment- Developed golden reference models for AES-256 in CTR and XTS Modes.- Developed tests for testing security engine on QSPI Flash and PSRAM Controller by Integrating AES-256 XTS and CTR golden reference models - Automated regressions and integrated the custom features with regression runs on Jenkins- Researched AXI Protocol and Silicon Labs AXI (SLAXI) Protocol, and proposed improvements- Worked on Internal VCs for ARM Low Power Interface, Silicon Labs Peripheral Reflex System and SPI- Worked on GPIO Muxing and automated testbench generation for demux logic used in Verification Testbenches- Worked on Formal Verification environment bring up in upcoming projects
Chennai, Tamil Nadu, In
- Developed Co-processor Interconnects for RISC-V Processors based on the Core-V extension Interface- Integrated the interconnect in a RISC-V CPU, and tested with a dummy hardware accelerator- Updating SoC generation frameworks to support interconnect generation
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Quick answers generated from the profile data available on this page.
Shrihari G works for Silicon Labs.
Shrihari G is listed as Design Engineer at Silicon Labs | MS-PhD, ECE at UT Austin | ML Accelerators and Power architecture at Silicon Labs.
Shrihari G is based in Austin, Texas, United States while working with Silicon Labs.
Shrihari G has worked for Silicon Labs, Cockrell School Of Engineering, The University Of Texas At Austin, The University Of Texas At Austin, Google Summer Of Code, and Technowiz Academy.
Shrihari G's colleagues at Silicon Labs include Janos Markus, Phd, Haifeng Xu, Patan Imran Khan, Susanti Yoe, and Rayan Bûcher.
You can use AeroLeads to view verified contact signals for Shrihari G at Silicon Labs, including work email, phone, and LinkedIn data when available.
Shrihari G holds Doctor Of Philosophy - Phd, Computer Engineering from The University Of Texas At Austin.
Shrihari G is listed with skills including Bluespec System Verilog, Tanner Eda, Cadence Virtuoso, Computer Architecture, Digital Electronics, Arduino, Linux, and Xilinx Vivado.
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