byteLAKE’s Alveo FPGA offering includes: - Expertise Consultancy: to assess how partner can benefit from Alveo based deployments - Expertise Software Services: our experts in the field deliver projects ranging from algorithms adaptations to single accelerator cards, to complex deployment in multi-accelerator & many-nodes cluster (HPC) architectures. - Thru our partners, we also provide complete HPC infrastructures as well as instant VPN or Cloud access to the latest configurations. Read more: https://medium.com/@marcrojek/xilinx-alveo-fpga-expertise-seek-no-more-c2e809a9f5ed Disclaimer: “This offering is not approved or endorsed by OpenCFD Limited, producer and distributor of the OpenFOAM software via www.openfoam.com, and owner of the OPENFOAM® and OpenCFD® trade marks.” “OPENFOAM® is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM software via www.openfoam.com.” (the “Acknowledgement”)

1. byteLAKE’s Expertise:
Xilinx Alveo FPGA

2. HPC at byteLAKE
Accelerating time to results and adapting complex algorithms
to GPU, FPGA, many-CPU architectures.
Unleashing the power:
• selecting the right programming model to a given problem
(task parallelism, data parallelism, mixture of these two)
• providing the right balance between CPUs and GPUs/FPGAs
• optimizing data transfers between host memory and accelerators
• code adaptation to a variety of computing platforms
Bottom line: lowering TCO thru various optimizations
(performance, energy efficiency, accuracy of calculations)
More at: byteLAKE.com/en/HPC
Making the most of the hardware:
• Speedup: accelerating time to results for complex algorithms
• Green Computing: optimizing algorithms to reduce energy consumption
• Scalability: from single nodes to clusters

3. Crypto Mining Suite
Expertise Software Services
Exceptional Alveo experience:
CFD Suite (FPGA)
Acceleration and TCO
Optimization
More at: byteLAKE.com/en/Alveo
Customized HPC Solutions

4. Expertise in Alveo FPGA programming
PCIe
x86 CPU
Host
Application
Runtime and Drivers
Acceleration API
FPGA
Accelerated
Functions
DMA Engine
AXI Interfaces
byteLAKE’s
Alveo Code
Xilinx
Acceleration
Platform
C/C++ code
with
OpenCL API calls
C/C++
or
OpenCL C
FPGACPU
4

5. Example Project: CFD Adaptation
Typical CFD workflow
From CAD to MESH…
(meshing)
…to CFD simulation and visualization.
• MESH conversion (input)
• byteLAKE’s CFD Code
• Data output for visualization
upto5%
ofsimulationtime
major
workload
Image source: https://www.openfoam.com/products/visualcfd.php
OPENFOAM® is a registered trademark of ESI Group. This offering is not approved or endorsed by ESI Group, the producer of the OpenFOAM software and owner of the OPENFOAM® and OpenCFD® trademarks.

6. • MPDATA
(Multidimensional Positive Definite Advection Transport Algorithm)
– main part of the dynamic core of the Eulerian/
semi-Lagrangian (EULAG) model
– EULAG (MPDATA+elliptic solver) is the established computational model,
developed for simulating thermo-fluid flows across a wide range of scales
and physical scenarios
– currently, this model is being implemented as the new dynamic core of the COSMO
(Consortium for Small-scale Modeling) weather prediction framework
– advection (together with the elliptic solver) is a key part of many frameworks that allow
users to implement their simulations
• Advection
– movement of some material (dissolved or suspended) in the fluid.
Algorithm: Advection (MPDATA)
General Information

7. • Compute domain divided into 4 sub-
domains
• Host sends data to the FPGA
global memory
• Host calls Advection kernel to execute
it on FPGA (kernel is called many
times)
• Each kernel call represents
a single time step
• FPGA sends the output array
back to host
Algorithm: Advection (MPDATA)
Architecture

8. • First-order-accurate step of the advection scheme.
Second-order is an option.
• Input data
– Array X – non-diffusive quantity
(e.g. temperature of water vapor, ice, precipitation, etc.)
– Arrays V1, V2, V3 - each of them stores the velocity vectors in one direction
– (optional) Arrays Fi, Fe - implosion and explosion forces acting on a structure of X
– (optional) Array D with density
– (optional) Array rho which defines an interface for the coupling of COSMO and EULAG dynamic core
(used to provide the transformation of the X variable)
– DT – time step (scalar)
• Output data
– single X array that was updated in the given time step
Algorithm: Advection (MPDATA)
Technical Information

9. Algorithm: Advection (MPDATA)
Benchmark
INTEL XEON
E5-2995
INTEL XEON
E5-2995
INTEL XEON
GOLD 6148
INTEL XEON
PLATINUM
8168
XILINX
ALVEO U250
Performance (the higher
the better)
INTEL XEON
E5-2995
INTEL XEON
E5-2995
INTEL XEON
GOLD 6148
INTEL XEON
PLATINUM
8168
XILINX
ALVEO U250
Energy (the lower the
better)
INTEL XEON
E5-2995
INTEL XEON
E5-2995
INTEL XEON
GOLD 6148
INTEL XEON
PLATINUM
8168
XILINX
ALVEO U250
Performance/W (the
higher the better)

10. AI
• highly optimized AI engines to analyze
text, image, video, sound and time
series data.
• Detecting shapes & patterns.
• Complex tasks automation.
• IoT/ edge, Cloud, on-premise.
HPC
• accelerating time to results and
adapting complex algorithms to GPU,
FPGA, many-CPU architectures.
• From single nodes to clusters.
Meet byteLAKE
AI and HPC Experts Your software partner
for AI & HPC projects
Experts in adapting
& optimizing
software for
Select Products
AI for CFD.
Ultra fast results,
radically lower TCO.
New possibilities.
Objects Detection
Edge AI and real time
computer vision.
56x faster AI training.
R&I • R&D • Licensing

11. byteLAKE among top AI companies in Poland!
"It contains information on practically all meaningful
companies operating in Poland which offer services or
products in the field of modern technologies. We believe this map
will be necessary to help both domestic and international
investors looking for interesting projects in Poland.",
Aleksander Kutela, President of Digital Poland Foundation