Asmita Pal Email and Phone Number
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• Currently working as a graduate research assistant at UW-Madison in Comp Arch. - Characterizing vulnerabilities in fully homomorphic encryption-based applications - Securing program trace generation by leveraging program semantics. - Identifying patterns in memory accesses and impact of learning techniques on the same. - Investigating workloads amenable to approximate computing and developing approximation-awarearchitectures.• Interned at AMD Research where I worked on profiling memory bound, CPU-based AI applications and identified potential for acceleration• Prior research was based on energy efficient computing in present-day multi-core systems. Following are the key contributions: - Low Power GPU Design - Critical Thread Predictor Analysis• Served on ASPLOS'20 and MLSys'20 Artifact Evaluation Committee.
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AmdSanta Clara, California, United States -
Phd CandidateUniversity Of Wisconsin-Madison Sep 2018 - PresentMadison, Wi, Us- Side-channel analysis of applications encrypted using Fully Homomorphic Encryption (FHE).- Privacy preserving synthetic trace generation by leveraging program semantics.- Identifying patterns in memory accesses and impact of learning techniques on the same.- Investigating workloads amenable to approximate computing for approximation-aware architectures. -
Research InternAmd Jun 2022 - Sep 2022Santa Clara, California, UsWorked on Last Level Cache management by modelling data-reuse behavior.
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Research InternAmd Sep 2020 - Dec 2020Santa Clara, California, UsResponsible for profiling memory bound, CPU-based AI applications and identify potential for acceleration.
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Graduate Research AssistantUtah State University Aug 2016 - Jul 2018Logan, Utah, UsWorked in the Bridge Lab under the supervision of Dr. Koushik Chakraborty and Dr. Sanghamitra Roy. Following were the key contributions:• Investigated power-performance trade-off characteristics for present day processors, including both GPU and CPU.– Explored the factors affecting the operation of a GPU at Near Threshold Voltages, especially the role of process variation on register files.– Proposed a low overhead technique to overcome the effects of process variation on register access latency.– Exhibited an improvement of ~36% in the GPU energy consumption implementing the proposed technique.• Cross-layer analysis of the effects of process variation on devices operating at Near Threshold Voltages.– Obtained the frequency and delay distribution for a NTC GPU register file represented by 10T-SRAM cell.• Studied deep neural networks and their role in solving architectural problems. -
Graduate Teaching AssistantUtah State University Jan 2018 - May 2018Logan, Utah, UsWorked as a GTA for High Performance Microprocessor Architecture.
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System EngineerInfosys Jul 2014 - Jul 2016Bangalore, Karnataka, In- Functioned as a team lead, and dealt with client deadlines and service delivery.- Developed a project specific Automation Tool to enhance team productivity by amortizing the manual verification of device configurations.
Asmita Pal Skills
Asmita Pal Education Details
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University Of Wisconsin-MadisonComputer Engineering -
Utah State UniversityComputer Engineering
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West Bengal University Of Technology, KolkataElectronics And Instrumentation Engineering
Frequently Asked Questions about Asmita Pal
What company does Asmita Pal work for?
Asmita Pal works for Amd
What is Asmita Pal's role at the current company?
Asmita Pal's current role is PhD Candidate - Computer Architecture @University of Wisconsin-Madison | Ex-Intern @ AMD Research.
What is Asmita Pal's email address?
Asmita Pal's email address is as****@****isc.edu
What is Asmita Pal's direct phone number?
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What schools did Asmita Pal attend?
Asmita Pal attended University Of Wisconsin-Madison, Utah State University, West Bengal University Of Technology, Kolkata.
What are some of Asmita Pal's interests?
Asmita Pal has interest in Economic Empowerment, Education, Science And Technology, Human Rights, Animal Welfare.
What skills is Asmita Pal known for?
Asmita Pal has skills like Computer Architecture, Eda, Graphics Processing Unit, Gpgpu, Vlsi Cad, Deep Learning, Low Power Design, Very Large Scale Integration, Synopsys Tools, Cadence Encounter, Neural Networks, Python.
Who are Asmita Pal's colleagues?
Asmita Pal's colleagues are Max Altenhofen, Yuri K., Paul Hlavaty, Narendra Gour, Howard Kalish, Saif St, Ronnie Destor.
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