TTG ApptimizerSoftware Autotuning Toolkit

Pavel Ivanov, PhD

Co-founder and Deputy CEO, Business Development

p_ivanov@ttgLabs.com

TTG

Apptimizer

Various processors

Different OSs

Various interfaces Any data

Problem and approach● How to boost SW performance ?● Our solution: autotuning● TTG Apptimizer

toolkit● HPC● Resource

demanding apps● GPUs● CPU+GPU

Competitive landscapeCompetitors (indirect)

● AMD, Intel, NVIDIA – non-universal solutions

● Caps, GPUSystems, Xcelerit, StarPU,… – no optimization!

Partnership vs Competition

Our advantages

● Software optimizes itself● Universal solution● Shorter time-to-market● Less developer’s skills

Up to 300-fold performance increase*

3Traditional approach (per year)

TTG Apptimizer (once)

0 2 4 6 8 10 12 14 16

Video Streams. Optimization efforts, days

Product and business model Licensing

Cash flowRelated services

GPUs Cost, USD1 19905 2530

10 313020 413030 513050 713075 9130

100 11130

TTG Apptimizer● Dec. 2012 – stable

commercial version● May 2013 – version 1.0.3● First sales● 10 contracts on services● FIIP certificate on SW

Potential applications and global market (size/CAGR)

● HPC software and services

5

● Big Data

● Game engines and MW

$11B in 2015 / 9%

$7B (6%) est.*

$24B in 2016 / 32%

Team

Management: Pavel Ivanov• 20 years in IT• Management of numerous IT-projects (sofware development, marketing)• Solid expertise in w/w IT trends and market

Key developers: Maxim Krivov, Sergei Grizan, Michael Pritula

• 15+ years in software development• Dozens of projects in parallel programming, HPC, and development tools• Numerous wins in professional contests• Trainings in large IT companies• TopCoder 1611

6

Investment needsInvestments

● $1.9M for● TTG Apptimizer versions

for clusters, supercomputers, and clouds

● Marketing, network of partners, sales channels

● Share up to 25%● IRR = 87%● ROI in 4 years

Exit

● Sale of a share to● Investment Foundation● Intel, AMD, NVIDIA

7

Thank you!

ttgLabs.com

Pavel Ivanovp_ivanov@ttgLabs.com