Ming Gong

Ming Gong

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README

1 minute read

Exam Cheat Sheets for ELEN 3801 Signals and Systems

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13 ELF

less than 1 minute read

4 Signals

4 minute read

Signals and System Calls

Sending Signals

#include <signal.h>
int kill(pid_t pid, int signo);
int raise(int signo);    // same as kill(), but yourself
  • Both return: 0 if OK, -1 on error
  • if pid < 0, the signal is sent to the process group with pgid == |pid|

6 Threads

14 minute read

Creating Threads

An execution inside a process (two functions in a process running at the same time), sharing the same address space (same heap, same static var, but can’t share stack space) ^4bba4d

  • When thread starts running, the OS assigns a new slab of space in the middle for stack.
    • Limit of stack space for each process
#include <pthread.h>
int pthread_create(pthread_t *thread, 
	                const pthread_attr_t *attr,
                    void *(*start_routine)(void *), 
                    void *arg); 
int pthread_join(pthread_t thread, void **retval);
  • thread: thread ID
  • attr: typically NULL, a fine-grain control of thread behavior
  • start_routine: input void *, return void *
  • arg: for start_routine(arg)
  • retval: stores the return value of start_routine() Returns 0 if OK, error number on failure

9 IO Blocking and Multiplexing

5 minute read

Nonblocking IO

Making slow (blocking forever) syscalls nonblocking

  • Call open() with O_NONBLOCK
  • Call fcntl() (file control) to turn on o_NONBLOCK file status flag on already opened fd
    • Will be recorded in the file table entry
  • Returns -1 and sets errno to EAGAIN if were to block

  1. Vectors

3 minute read

Gallery

less than 1 minute read

Authors: Ming Gong, Charlotte Chen

4321 SRAM

12 minute read

Authors: Ming Gong, Charlotte Chen

courses

AP

Welcome to AP!

C 2 Cpp

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projects

Two-Stage OTA

Final Project for ELEN 4312 Analog Electronic Circuits

FFT Accelerator

Final Project for EECS 6321 Advanced Digital Electronic Circuits

publications

An Improved Machine Learning Model for Pure Component Property Estimation

2024

A new Gaussian Process-based modeling framework that predicts the physico-chemical properties of chemical species.

Recommended citation: Cao, X., Gong, M., Tula, A., Chen, X., Gani, R., & Venkatasubramanian, V. (2024). An improved machine learning model for pure component property estimation. Engineering, 39, 61–73. https://doi.org/10.1016/j.eng.2023.08.024
Download Paper

Loss Function Evaluation

2025

Accurate tracing of grain boundaries in microscopy images is vital in material science, yet current models need more data and a more accurate loss function. In this report, we present a twofold contribution to improving grain-tracing U-nets.

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Interpreting Earth’s Inner Core Structure via Ultrasonic Scattering Experiments

2025

An experimental study of the scattering of ultrasonic compressional waves in an hcp Zn-Sn alloy, serving as an analog to the Fe alloy in Earth’s inner core to better understand the origin of inner core seismic attenuation.

Recommended citation: Ming Gong, Michael I. Bergman, An experimental ultrasonic method to determine a scattering quality factor, with application to earth's inner core, Physics of the Earth and Planetary Interiors, 2025, 107456, ISSN 0031-9201, https://doi.org/10.1016/j.pepi.2025.107456.
Download Paper | Download Slides

talks

teaching

Physics

Class Tutor, Bard College at Simon's Rock, 2023