Falcon Computing Solutions, Inc

Founded 2014

Accelerate compute-intensive C and C++ applications using FPGA and GPU hardware

You can use Falcon Computing to speed up compute-heavy software applications on FPGA and GPU hardware. The Merlin Compiler automatically converts standard C and C++ code into FPGA implementations while generating host code and managing data transfers. You can coordinate your hardware with the Kestrel Runtime scheduler to handle device discovery, sharing, deployment, and task scheduling across your systems. These tools help engineering teams run intensive tasks like genomic analysis, financial fraud detection, machine learning models, and image processing without writing complex hardware description languages.

What Falcon Computing Solutions, Inc does

Compile C++ algorithms into FPGA bitstreamsSchedule execution queues across FPGAs and GPUsManage data transfers between CPU memory and accelerator memoryDeploy deep neural networks on accelerator hardwareProcess deep packet inspection streams in real timeReprogram FPGA chips on demand for different compute jobsAutomated conversion of C and C++ source code to FPGA designsAutomatic generation of host code and communication protocolsData transfer scheduling and memory reuse controlsRuntime scheduling for discovery and deployment across FPGAs and GPUsReprogramming and sharing of accelerator hardware across multiple tasksPre-configured execution models for genomic sequence analysis

Frequently asked

C++, GATK, C++ Standard Library, GATK (Genomic Analysis Toolkit), Xilinx Vitis, Intel OneAPI, OpenCL, PCIe Bus Interface, HBM/DDR Memory Controllers

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