“Providing best and quality design services on FPGA Design and Machine Learning Acceleration”
- Delivering the turnkey solutions on FPGA , Machine Learning Acceleration and Embedded Design
- Enhancing the Research and Development for FPGA Design with inhouse resource and collaboration.
Our Area of Expertise
- Machine Learning acceleration on Edge and Cloud with FPGA for Computer Vision, Autonomous Driving, and Cloud based applications.
- Computer Vision Application Development with Xilinx Zynq Family FPGA and VHDL/Verilog, High Level Synthesis ( C/C++ OpenCV),Embedded C (for SDK programming for software application) along with Tcl and Bash.
- FPGA Development with Intel Altera tools [Quartus Prime] and FPGA’s.
- Development, Implementation and Migration of Projects to ZC702 and MPSoC FPGA from Xilinx.
- Machine Learning Acceleration with Xilinx VCU1525 and Alveo FPGA with AWS , Nimbix or Standalone mode.
- Acceleration of OpenCL applications on SDAccel tool for VCU1525 and Alveo
- We can develop any embedded system with SDSoC tools targeting the SoC (Zynq 7000 & Ultrascale+MPSoC) FPGA. SDSoC Tool reduce the overall design time than of VIVADO Tool (using VIVADO HLS, IP integrator and SDK), it also allow us to design and create a bootable system files just from few clicks. While designing with VIVADO, SDK and Petalinux need extensive skillset for creating a embedded projects.
- Crypto-mining application development: Implementing CryptonightV7, Skunk, X17 and X16r/s algorithms targeting VCU1525/BCU1525, Alveo and CVP-13.
Other Development’s at LogicTronix:
- As of our “Democratizing FPGA Education All Over the World” initiative, we are also providing Online Courses on “FPGA/VHDL/Verilog and HLS/OpenCL” at Udemy. We launch “Video Processing with FPGA” Course at Udemy Platform in collaboration with Digitronix Nepal, this course includes session on Processing Video with algorithms as Sobel Edge, Harrish Corner, Fast Corner, Histogram Equalize and Test Pattern Generator + VDMA integration on FPGA Design. This video processing course can be reviewed or accessed from this link: Link
- Image/Video Processing with Pynq FPGA (Python+Zynq) FPGA, PYNQ enable fast prototyping of Computer Vision Algorithm in FPGA’s. PYNQ can be customize both its hardware and software for applications as diverse as: Computer vision, Industrial control, IoT, Drones, Encryption, Embedded computing acceleration, Real-time processing and many more.Here is datasheet of board. For more info on PYNQ: PYNQ project webpage
Know More about us
Our Portfolio: LogicTronix [dot] com_Portfolio
Machine Learning Portfolio: LogicTronix[dot]com_ML_Portfolio
Crypto-Development Portfolio [X16r/X17 Work]: Crypto-Portfolio
White Paper and Reference Guide from LogicTronix on FPGA Design
We have listed our White Paper on FPGA and Machine Learning Acceleration at: LogicTronix-White-Paper
Following are the reference guide on FPGA Design which we have prepared. If you are interested on these resources then do send us email at: email@example.com
- Crypto Algorithm Implementation on FPGA: We have worked on Cryptonight V7, Skunk hash, X17 algorithm for our clients.
- Verilog/VHDL and Tcl Reference Guide
- VIVADO Design suit Reference Guide
- Answer Record on Debugging at Device Startup (VIVADO ILA Trigger at Startup)
- Reference Guide: FPGA Design with OpenCL
- Reference Manual: Very High Speed Packet Processing System and Architecture: FPGA and Heterogeneous Computing Methodology
- Tcl Scripting for VIVADO Design’s for automation and Design/Verification: Reference Guide