Stochastic Computing for Deep Neural Networks
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Updated
Nov 25, 2020 - Python
Stochastic Computing for Deep Neural Networks
Generating Posit-Based Accelerators With High-Level Synthesis
Design and implementation of RISC-V processor with a pipelined datapath, controller, and hazard unit.
Naive x86_64 assembly for big integer arithmetics and generating binary factorial tables
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.
Course Taken @ UCMerced [2021]
Assignment codes for Introduction to Numerical Analysis (2020, FGV-EMAp).
Design and implementation of RISC-V processor with a multi-cycle datapath and controller.
Code for reproducing CoNGA 2023 results on approximate posit arithmetic
Code for reproducing CoNGA 2022 results on posit arithmetic operators
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
POPiX: Floating to Fixed-Point Code Generator
Design and implementation of RISC-V processor with a single-cycle datapath and controller.
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