Stochastic Computing for Deep Neural Networks
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Updated
Nov 25, 2020 - Python
Stochastic Computing for Deep Neural Networks
Design and implementation of RISC-V processor with a pipelined datapath, controller, and hazard unit.
Code for reproducing CoNGA 2022 results on posit arithmetic operators
Assignment codes for Introduction to Numerical Analysis (2020, FGV-EMAp).
POPiX: Floating to Fixed-Point Code Generator
Generating Posit-Based Accelerators With High-Level Synthesis
Computer Architecture: 01:198:211 This course covers the fundamental issues in the design of modern computer systems, including the design and implementation of key hardware components such as the processor, memory, and I/O devices, and the software/hardware interface.
Design and implementation of RISC-V processor with a multi-cycle datapath and controller.
Design and implementation of RISC-V processor with a single-cycle datapath and controller.
Code for reproducing CoNGA 2023 results on approximate posit arithmetic
Naive x86_64 assembly for big integer arithmetics and generating binary factorial tables
Course Taken @ UCMerced [2021]
Simulations of the following computer arithmetic algorithms: Booth, Booth Radix4, Restoring, Non-Restoring, Radix4 SRT, Radix2 SRT
Study of Montgomery Modular Multiplication in Residue Number Systems
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