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Siddhisanket (Sid) Raskar

I am a post-doctoral researcher in the Data Sciences group with theArgonne Leadership Computing Facility(ALCF) at Argonne National Laboratory. I work on evaluating the efficacy of AI architectures for scientific machine learning and on the design of next-generation AI architectures for science

I obtained my Ph.D. under the guidance of Guang R. Gao on the topic of "Dataflow Software Pipelining for Codelet Model using hardware-software co-design” from Electrical and Computer Engineering department at the University of Delaware. I also have a Master’s in Computer Science from the University of Delaware and a Bachelor’s in Computer Engineering from the University of Pune, India.

I am interested in pursuing a research-oriented career in the fields of computer architecture, high-performance computing, and machine learning.

Research Interests :

  • Computing and Dataflow Models
  • Computer Architecture and Systems
  • Compilers Technology and Runtime Systems
  • Program mapping and optimization under dataflow models

Get in touch with me via:

Sid Raskar's Projects

cannon-dfswp icon cannon-dfswp

Implementation of Cannons Algorithm using Dataflow Software Pipelining

examples icon examples

Example code and applications for machine learning on Graphcore IPUs

gcannon icon gcannon

Implementation of Generalized Cannon's Algorithm

gitignore icon gitignore

A collection of useful .gitignore templates

lenet-5_speed_up icon lenet-5_speed_up

Utilize OpenMP and CUDA to speed up LeNet-5 digit recognition CNN. In OpneMP, training with 11x speed up and 11x in testing. With the help of CUDA, the training is speed up by 3x and 57x speed up in testing.

llvm icon llvm

Intel staging area for llvm.org contribution. Home for Intel LLVM-based projects.

memoir icon memoir

A trip down memory lane and data flow

omp2cd icon omp2cd

OpenMP to Codelets Compiler based on Clang

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

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