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Huy Trinh's Projects

hls_ia_2020 icon hls_ia_2020

Full development of a Convolutional Neural Network (CNN) accelerated on a CPU / FPGA system using High Level Synthesis (HLS)

hls_tutorial_examples icon hls_tutorial_examples

Examples shown as part of the tutorial "Productive parallel programming on FPGA with high-level synthesis".

hpcdailychallenges icon hpcdailychallenges

The Daily Challenges were created to establish a shared vocabulary for the student workers in HPC Support at Pomona College

hps2fpgamapping icon hps2fpgamapping

SoCFPGA: Mapping HPS Peripherals, like I²C or CAN, over the FPGA fabric to FPGA I/O and using embedded Linux to control them (Intel Cyclone V)

inferenceinfpga icon inferenceinfpga

A Deep Neural Network-inference accelerator is created in hardware. The codes for hardware is written in System Verilog. The hardware module is interfaced with NIOS computer system, thus this hardware acts as a peripheral to the computer system. The driver code to interface the hardware is written in C. Speedup compard to software is 400 times.

iot-hub-python-raspberrypi-client-app icon iot-hub-python-raspberrypi-client-app

This repo contains the source code to help you get started with Azure IoT using the Microsoft IoT Pack for Raspberry Pi 3 Starter Kit. You will find the full tutorial on docs.microsoft.com.

ispc icon ispc

Intel SPMD Program Compiler

java_lowlatencytrading_tune- icon java_lowlatencytrading_tune-

Collection of documents related tunings for performance of Java low-latency trading systems: from hardware up to application level

lbforth icon lbforth

Self-hosting metacompiled Forth, bootstrapping from a few lines of C; targets Linux, Windows, ARM, RISC-V, 68000, PDP-11, asm.js.

learn-machine-learning-in-two-months icon learn-machine-learning-in-two-months

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

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