FAST: Distributed Systems & Parallel Computing Labs 🚀

📋 Intro

Welcome to FAST, a repository that captures my journey through the labs of:

MIT 6.5840 (Distributed Systems)
Stanford CS 149 (Parallel Computing)

MIT 6.5900 (Computer System Architecture)

This is more than just code, it's a personal mission to master the language of distributed systems and computation. Each lab is accompanied by a detailed write-up where I explain my approaches, decisions, and perspectives. My goal is to learn and teach as i go , so not everything here is correct, feel free to critique!

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📋 Progress:

Stanford CS 149: Parallel Computing Course Page

Delving into the nuts and bolts of parallel performance optimization, task execution, and GPU programming.

Lectures:

🟩🟩🟩🟩🟩🟩🟩⬜⬜⬜⬜⬜⬜⬜⬜⬜⬜⬜⬜ (7/19 lectures completed)

Labs:

• Lab 1: Performance Analysis on a Quad-Core CPU
  📖 Write-Up
• Lab 2: Building A Task Execution Library from the Ground Up
• Lab 3: A Simple CUDA Renderer
• Lab 4: Chat149 - A Flash Attention Transformer DNN
• Lab 5: Big Graph Processing in OpenMP

Written Assignements:

• Assgn 1:
• Assgn 2:
• Assgn 3:
• Assgn 4:
• Assgn 5:
• Assgn 6:

MIT 6.5840: Distributed Systems Course Page

Exploring the foundations of reliable, scalable, and fault-tolerant distributed systems.

Lectures:

🟩🟩🟩⬜⬜⬜⬜⬜⬜⬜⬜⬜⬜⬜⬜⬜⬜⬜⬜⬜ (3/20 lectures completed)

Labs:

• Lab 1: MapReduce
• Lab 2: Key/Value Server
• Lab 3: Raft Consensus Algorithm
• Lab 4: Fault-Tolerant Key/Value Service
• Lab 5: Sharded Key/Value Service