Accelerating time to results and adapting complex algorithms to GPU, FPGA, many-CPU architectures.

Leverage byteLAKE expertise in complex algorithms adaptation and optimization for NVIDIA GPUs, Xilinx Alveo FPGAs, Intel, AMD and ARM solutions.

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

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)

We have successfully delivered several case studies in the HPC field. We are also very active in the research space.

During the course of many projects we have built an expertise on Xilinx Alveo FPGA and NVIDIA technologies.

Technical highlights from our HPC projects:

• optimized HPC simulation with better data align, blocking, overlapping, streaming, regs. queue etc.
• tweaked DVFS (dynamic voltage and frequency scaling) and CT (concurrency throttling)
• MPI, NVIDIA CUDA, OpenCL, OpenMP, C, C++, C++-11, Pthreads, Alveo, and many more

We understand heterogeneous computing not only as a type of computations performed using GPU/Intel Xeon Phi/FPGA architecture and having CPU as a management layer. Our company focuses on utilizing all the computing resources to unleash the power of the accelerators (GPU/Intel Xeon Phi/FPGA) and host processors (CPUs).

Together with our partners, we deliver complete, end-to-end HPC solutions:

• hardware components (complete life cycle)
• software stack
• fully configured hardware and highly optimized custom software applications