Shail Dave Email & Phone Number
@asu.edu
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Who is Shail Dave? Overview
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Shail Dave is listed as Domain-Specific Architectures | PhD in Computer Engineering | AR/VR Systems; Machine Learning Systems; Design Automation; Extended Reality; System on Chip at Qualcomm, a company with 48952 employees, based in San Diego, California, United States. AeroLeads shows a work email signal at asu.edu and a matched LinkedIn profile for Shail Dave.
Shail Dave previously worked as AR/VR Systems Modeling Engineer (Senior) at Qualcomm and Research Scholar at Src Research Scholars Program. Shail Dave holds Doctor Of Philosophy (Ph.D.), Computer Engineering from Arizona State University.
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AeroLeads found 1 current-domain work email signal for Shail Dave. Compare company email patterns before reaching out.
About Shail Dave
Ph.D. in Computer Engineering from Arizona State University. My research techniques & infrastructures enable efficient processing of critical applications (improving performance/energy/storage) like machine learning on hardware accelerators in agile & sustainable manner. Experience: compilation/mapping optimizations, execution cost modeling & bottleneck characterization, language for automating domain-specific processor designs, efficient dense/sparse tensor computations, simulators, exploring hardware/software codesigns through systematic heuristics & ML. My research techniques/tools are published in and heavily referred by flagship conferences/journals and industrial works/patents (in design automation, computer architecture) & featured in premier forums (Semiconductor Research Corp., NSF/Intel research center, IBM AI Compute Symposia, ARM Research Summits, Future Chips Forum).My prior industry experiences include compiler optimizations for wide-scale commodity embedded systems and digital design/verification for FPGA-based accelerators & ASICs. Experienced in piloting novel research projects & infrastructures, in collaboration with leading researchers and via research positions (Intel Labs, ARM Research, MathWorks Research, Indian Space Research Org.), for cutting-edge accelerator system design. Received several honors, competitive awards, and fellowships. I actively serve in community and professional activities, including mentorship programs, vision workshops for future computing systems research, and as reviewer/organizer for top ACM/IEEE conferences, workshops, or journals. Select First-Authored Publications:• [ASPLOS] Agile & Explainable DL HW/SW Codesign Exploration (in Minutes)• [Proceedings of IEEE] Comprehensive Survey on Efficiently Accelerating Sparse/Compact ML Models • [DAC] RAMP: resource-aware mapping for CGRAs (Accelerate general-purpose computing loops)• [CODES+ISSS] dMazeRunner: Executing Perfectly Nested Loops on Dataflow Accelerators(Execution modeling of HW accelerators, Optimizing dataflow/mappings of DNN operations in seconds)•[TECHCON] Automated Execution Modeling/Characterization of Domain-Specific Architectures•[Advisory Report] Sustainable Computing Architectures, for NSF Workshop•[LATTE@ASPLOS] Design Space Description Language for Efficient Next-Gen Hardware AcceleratorsTechnical Skills•Programming Languages: C++, Python, SystemVerilog, MIPS Assembly •Parallel Programming: OpenMP, POSIX, MPI, CUDA•Tools: LLVM (front-end/IR), Gem5, TVM, PyTorch, Xilinx Vivado, Perf
Listed skills include C, C++, Matlab, Verilog, and 49 others.
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Shail Dave work experience
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Ar/Vr Systems Modeling Engineer (Senior)
CurrentWorking in XR architecture group on modeling the next-gen XR SoCs that will continue to empower our daily lives - through from smart glasses to educational, entertainment, and assistive platforms.
Research Scholar
SRC AI Hardware Program: Agile, Explainable, Sustainable AI Hardware/Software Codesign with AI(Project Developer and Co-lead)
Graduate Research Assistant
Developed the tools and techniques for programmable dataflow accelerators to efficiently process dense/sparse tensors of acceleration-critical applications (e.g., Machine Learning / Deep Neural Network models) with irregular/varying shapes. These include compilation and mapping optimizations, analytical/functionality simulations of microarchitectures.
Research Scholar
Software Engineer (Research Intern)
Research Group: Code Efficiency (Embedded Coder)Collaborators: Dr. Partha Biswas, Dr. Mengjie Mao- Developed compiler analysis and transformations to investigate and realize the performance improvements by embedding target platform specific features in the code generation environment. Evaluations were performed successfully at scale.
Teaching Assistant
[Outstanding TA Award, Computer Engineering, 2018][Guest Lectures on various advanced topics in courses - CSE 420: Computer Architecture and ASU 101: The ASU Experience]CSE 420/520: Computer Architecture CSE 330: Operating SystemsCSE 100: Principles of Programming with C++
Asic Verification Engineer
- Worked with architect and technical leads of ASIC team to define and develop an automated tool that helped to make the development of Enterprise Solid State Drive Controller ASIC more efficient.- Successfully performed module level verification for key modules of novel large complex ARM based SoC controller architecture. Individual responsibilities.
Instructional Aide
- Assisted professors for instructing and teaching student groups for the following courses. -MAT 117: College Algebra (Fall 2014, Fall 2015) -MAT 142: College Mathematics (Spring 2015)-MAT 210: Brief Calculus (Online TA.
Research Intern
- Collaborated with a team of research scientists and achieved precise temperature control of cryogenic coolers for the next generation geostationary imaging satellites. The project was carried out by developing the digital PID controller on the FPGA in the real-time environment.- Led development of an end-to-end system to automatically fine-tune the.
Colleagues at Qualcomm
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Nishant Kumar Singh
Colleague at Qualcomm
San Diego, California, United States, United States
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CW
Chaitali Walke
Colleague at Qualcomm
San Diego, California, United States, United States
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PS
Priyanka Sashu
Colleague at Qualcomm
Coimbatore, Tamil Nadu, India, India
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PC
Philip Cuevas
Colleague at Qualcomm
Singapore, Singapore, Singapore
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MS
Mark Schmidt
Colleague at Qualcomm
Munich, Bavaria, Germany, Germany
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JJ
Jemmy Jordan
Colleague at Qualcomm
Mumbai, Maharashtra, India, India
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RK
Ranganadh Kamepalli
Colleague at Qualcomm
Hyderabad, Telangana, India, India
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EM
Eunice Moh
Colleague at Qualcomm
South Korea, Korea, Republic Of
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EC
Emma Carroll
Colleague at Qualcomm
Cork, County Cork, Ireland, Ireland
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MS
Manish Sharma
Colleague at Qualcomm
San Diego, California, United States, United States
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Shail Dave education
Doctor Of Philosophy (Ph.D.), Computer Engineering
Master’S Degree, Computer Engineering
Bachelor'S Degree, Electronics & Communication Engineering
Frequently asked questions about Shail Dave
Quick answers generated from the profile data available on this page.
What company does Shail Dave work for?
Shail Dave works for Qualcomm.
What is Shail Dave's role at Qualcomm?
Shail Dave is listed as Domain-Specific Architectures | PhD in Computer Engineering | AR/VR Systems; Machine Learning Systems; Design Automation; Extended Reality; System on Chip at Qualcomm.
What is Shail Dave's email address?
AeroLeads has found 1 work email signal at @asu.edu for Shail Dave at Qualcomm.
Where is Shail Dave based?
Shail Dave is based in San Diego, California, United States while working with Qualcomm.
What companies has Shail Dave worked for?
Shail Dave has worked for Qualcomm, Src Research Scholars Program, Compiler Microarchitecture Lab, Nsf/Intel Joint Research Center On Computer Assisted Heterogeneous Programming, and Mathworks.
Who are Shail Dave's colleagues at Qualcomm?
Shail Dave's colleagues at Qualcomm include Nishant Kumar Singh, Chaitali Walke, Priyanka Sashu, Philip Cuevas, and Mark Schmidt.
How can I contact Shail Dave?
You can use AeroLeads to view verified contact signals for Shail Dave at Qualcomm, including work email, phone, and LinkedIn data when available.
What schools did Shail Dave attend?
Shail Dave holds Doctor Of Philosophy (Ph.D.), Computer Engineering from Arizona State University.
What skills is Shail Dave known for?
Shail Dave is listed with skills including C, C++, Matlab, Verilog, Vlsi, Vhdl, Cadence Virtuoso, and Microcontrollers.
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