Presentation on 'LEGaTO: A low energy toolsetfor heterogeneouscomputing' given durint Embedded World 2020 "

1. A low energy toolset
for heterogeneous
computing

2. LEGaTO Ambition
• Optimizing OmpSs to support energy-efficiency
• Working on RECS|Box hardware with
CPU + GPU + FPGA + FPGA-based Dataflow Engines (DFE)
Create software stack-support for energy-efficient heterogeneous computing
Main goal: energy efficiency
• Fault tolerance
• Security
• Programmer productivity

3. Boosted Use-Cases
Smart City
7x gain in energy efficiency
using FPGAs
Health Care
822x speedup using
FPGAs, enabling a new
world of Biomarker
analysis
Machine Learning
up to 16x gain in energy
efficiency and
performance on the same
hardware, using the
EmbeDL optimizer

4. Smart Mirror
• Image: Object, face and gestures
• Speech with DeepSpeech
Displays personalized information
All detections simultaniously
• Start: 16 FPS at 500 W
• Now: 25 FPS at 400 W
• Goal: 10 FPS at 50 W
Local machine learning frameworks

5. Cluster Server
• 56-63% less TCO over 5 years
• Heterogeneous, flexible and scalable microserver cluster
• Turnkey appliances optimised to relevant classes of applications
X86 and ARM CPU, GPU, FPGA

6. TCO reduced by > 50 % after 5 years
Reduced TCO with RECS®|Box Deneb
 Lowered upgrade costs by replacing
only the microservers in regular
upgrade cycles
 Reduced data centre footprint
through ultra-high density of
computation power
 Less energy costs by superior energy-
efficiency

7. LEGaTO Partners