Advanced Computer Architecture:Graduate Course - Spring 2016

Advanced Computer Architecture:Graduate Course - Fall 016

* Instructor: Prof. Jeong-Gun Lee

* Enrolled Students:

D15517  DAM MINH TUNG / D15520  NGUYEN VAN TOAN / D16028  AYINEBYONA ELIAB

M15521  오수진 / M15522  이재구 / M16067  박승주 / M16068  임태성 / M16522  김원표

* Notice

   1. Modern Computing utilizes FPGA / GPU for Accelerating Data Intensive Applications. In this class, we will focus on GPU and its programming with CUDA.

   2. Student Presentation with Recent Papers on GPU architecture

* Schedule

  23 Sep: A Performance, Power and Energy Analysis of Ultrasound B-Mode Imaging on a GPU with VFS, PART I

  30 Sep: A Performance, Power and Energy Analysis of Ultrasound B-Mode Imaging on a GPU with VFS, PART II

  7 Oct. GTCX Korea – No Class: Students have to inform which paper they want to present.

  14 Oct. Student Presentation

     - 오수진, Accelerating Exact Similarity Search on CPU-GPU Systems

  21 Oct. Student Presentation

     - Dam, A STT-RAM-based Low-Power Hybrid Register File for GPGPUs

     - Toan, Exploiting Hyper-Loop Parallelism in Vectorization to Improve Memory Performance on CUDA GPGPU

  28 Oct. Toan/Dam Conference : Student Presentation: 2 Presentations

     - 박승주, Accelerating MapReduce framework on multi-GPU systems

  4 Nov. : Student Presentation

     - Eliab: A GPU-accelerated Network Performance Monitoring System for Large Scale Scientific Collaborations

     - 이재구, DEEP LEARNING OF FEATURE REPRESENTATION WITH MULTIPLE INSTANCE LEARNING FOR MEDICAL IMAGE ANALYSIS

  11 Nov. : Student Presentation

     - 임태성, A Fast Feature Extraction in Object Recognition Using Parallel processing on CPU and GPU

  18 Nov. :

     - 김원표, GPUs as Storage System Accelerators

  25 Nov. : Student Presentation 2

  - GPU Pro Tip: Fast Great-Circle Distance Calculation in CUDA C++ (임태성)

  - View Assembly Code Correlation in Nsight Visual Studio Edition (오수진)

  2 Dec. : Student Presentation: 3

  - GPU Pro Tip: Fast Histograms Using Shared Atomics on Maxwell (Toan)

  - Increase Application Performance With Nvidia GPU Boost (Dam)

  - 이재구

  9 Dec. : Student Presentation: 3

  - 머신 러닝 (박승주)

  - CUDA Pro Tip: Flush Denormals with Confidence (김원표)

  - 엘리압:

* References

   - Well Developed CUDA Lectures

     > Course on CUDA Programming on NVIDIA GPUs

     >

   - CUDA Document

     > CUDA C PROGRAMMING GUIDE (PDF)

* 2015 Project Report

    -김영대: HASH function acceleration on a GPU

    - SWATI:  HASH function acceleration on a GPU : Drop

    - 박천덕: Ultrasound Imaging on a GPU

    - 김지성: Impainting Acceleration with a GPU

    - 박종선: Parallelizing DES: p_thread 구현, 8 threads...

    - 최윤영: Bioinformatics: Suffix Tree 완벽 해석!

    - 황은성: Bioinformatics: 리모트로 소스 보기