Project Discussion Multi-Core Architectures and Programming

Project Discussion

Multi-Core Architectures and Programming

Oliver Reiche, Christian Schmitt, Frank Hannig

Hardware/Software Co-Design, University of Erlangen-Nürnberg May 15, 2014

Administrative Trivia

Room 01.255-128 Department of Computer Science Cauerstr. 11

91058 Erlangen

GPU Hardware

• codesigns30: GeForce 8800 GTS 512

• codesigns42: GeForce GTX 285

• codesigns43: GeForce GTX 285

• codesigns46: Tesla C2050 (SSH only)

• codesigns46: Tesla K20 (SSH only) AMD GPUs

• codesignsXX: Radeon HD 5870

• codesignsXX: Radeon HD 6970 ARM GPUs

Hardware

• codesigns35: Tilera TILEPro64 AMD CPU

• codesigns48: AMD Opteron Quad-Core (48 cores) OpenMPI Cluster

• all machines in room 02.133-128:

• 20

×

Software

• Threading Building Blocks 3.0 MPI

• OpenMPI 1.6

Environment CUDA

• set environment for CUDA m o d u l e load cuda

• CUDA SDK (/opt/cuda/sdk)

• examples (sources) in/opt/cuda/sdk/C/src

• binaries in/opt/cuda/sdk/C/bin/linux/release • link against CUDA SDK

add the following to your Makefile:

# set d i r e c t o r y for c o m m o n . mk C U D A _ S D K _ P A T H ?= / opt / cuda / sdk R O O T D I R := $ ( C U D A _ S D K _ P A T H )/ C / src R O O T B I N D I R := bin R O O T O B J D I R := obj i n c l u d e $ ( C U D A _ S D K _ P A T H )/ C / c o m m o n / c o m m o n . mk tidy c l o b b e r c lea n : @rm - rf bin obj

Environment OpenCL

• set environment for OpenCL on Nvidia GPUs m o d u l e load cuda

• CUDA SDK (/opt/cuda/sdk)

• examples (sources) in/opt/cuda/sdk/OpenCL/src

• binaries in/opt/cuda/sdk/OpenCL/bin/linux/release • link against CUDA SDK

add the following to your Makefile:

# set d i r e c t o r y for c o m m o n . mk C U D A _ S D K _ P A T H ?= / opt / cuda / sdk R O O T D I R := $ ( C U D A _ S D K _ P A T H ) R O O T B I N D I R := bin R O O T O B J D I R := obj i n c l u d e $ ( C U D A _ S D K _ P A T H )/ O p e n C L / c o m m o n / c o m m o n _ o p e n c l . mk tidy c l o b b e r c lea n : @rm - rf bin obj

Environment Tilera

• set environment for Tilera m o d u l e load t i l e r a

• Tilera MDE / opt / t i l e r a

Environment Renderscript

SDK simply Eclipse

NDK link against native Renderscript (C++) add the following to your CMakeLists.txt f i n d _ p a c k a g e ( R e n d e r S c r i p t R E Q U I R E D ) file ( GLOB P R O J E C T _ C P P *. cpp ) file ( GLOB P R O J E C T _ R S *. rs *. fs ) r s _ w r a p _ s c r i p t s ( P R O J E C T _ C P P $ { P R O J E C T _ R S }) r s _ d e f i n i t i o n s () r s _ i n c l u d e _ d i r e c t o r i e s () r s _ l i n k _ l i b r a r i e s ( $ { P R O J E C T _ N A M E } stdc ++) r s _ a d d _ e x e c u t a b l e ( $ { P R O J E C T _ N A M E } $ { P R O J E C T _ C P P })

Environment OpenMPI

• set environment for OpenMPI:

e x p o r t PATH =/ usr / lib 64 / mpi / gcc / o p e n m p i / bin : $ { PATH }

e x p o r t L D _ L I B R A R Y _ P A T H =/ lib 64 :/ usr / li b64 : $ { L D _ L I B R A R Y _ P A T H } advice: put this into your shell’s config file (e.g..bashrc)

• execute programs

m p i r u n - np 32 -- m a c h i n e f i l e m y m a c h i n e s m y p r o g r a m A machine file will be provided.

Login

Each group gets one account: SSH + (Mercurial | Git | Subversion) SSH

• one user account per group:mappraktX • external login via gatewaycodesigns14:

ssh m a p p r a k t X @ c o d e s i g n s 1 4 . i n f o r m a t i k . uni - e r l a n g e n . de

• from there allcodesignsXXservers are reachable

Repositories

Mail us your public SSH key and choose a repository type:

Mercurial hg clone ssh://[email protected]/seminar/map14/mappraktX Git git clone ssh://[email protected]/seminar/map14/mappraktX.git Subversion svn co svn+ssh://[email protected]/seminar/map14/mappraktX

Tentative Schedule

• status meetings every two weeks

• project presentations

• CW 28: 07.07.14 – 11.07.14

• CW 29: 14.07.14 – 18.07.14 • project: up to 2 students form a group

• project presentation:

• duration: (20+5) min

• group presentation

Projects

Each group selects and implements one application:

• mathematical problems

• N-Queens • image processing

• Harris corner detection

• optical flow calculation

• Viola Jones object detection

• bilateral grid filter

• local Laplacian • image compression

• JPEG, JPEG 2000 (complex) • partial differential equation (PDE) solver

Projects

Suggest own topic, e. g.

• neural networks, ant simulation, pattern matching

• computational fluid dynamics (CFD)

Free choice of target architecture and programming environment:

• GPU / embedded GPU / Tilera / 48-core CPU / MPI cluster

• CUDA / OpenCL / Renderscript / TBB / pthreads / MPI Tell us your choice by Thursday next week (22 May 2014)