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