This project focus on the design of an application specific hardware for accelerating High Frequency Trading applications. It is optimized to achieve the lowest possible latency for interpreting market data feeds and hence enable minimal round-trip times for executing electronic stock trades. The im
Design and Implement a 10 Gigabit Ethernet Communication Interface for High Frequency Trading on FPGAs.
| This project focus on the design of an application specific hardware for accelerating High Frequency Trading applications. It is optimized to achieve the lowest possible latency for interpreting market data feeds and hence enable minimal round-trip times for executing electronic stock trades. The implementation described in this work enables hardware decoding of Ethernet, IP and UDP as well as of the FAST protocol which is a common protocol to transmit market feeds. For this purpose, we developed a microcode engine with a corresponding instruction set as well as a compiler which enables the flexibility to support a wide range of applied trading protocols. The complete system has been implemented in RTL code and evaluated on an FPGA. Our approach shows a 4x latency reduction in comparison to the conventional Software based approach. A typical HFT system consists of four main building blocks: network stack, financial protocol parsing, order book handling and custom application layer. Financial exchanges broadcast market updates along an Ethernet connection at typical line rates of 10 Gb/s.
The ZYNQ SoC based secure data transmission implementation in an embedded system shows that ZYNQ SoC based implementation uses less space & weight compared to Telemetry System. The high performance and lower latency plays an important role in any embedded system especially in the mission critical applications. The ZYNQ SoC supports shared memory access, it allows to achieve higher performance and lower latency in Embedded Multiprocessor based designs. The Zynq-7000 internal architecture makes it possible to implement the custom IPs as well as logics in the PL. Also, it enables a custom software in the PS. It makes easier to develop a unique and differentiated functional systems. The PL & PS integration allows high level of performance and reliability that multi-chip based solutions (e.g. a FPGA with an ASSP) can’t afford because of their less number of I/O as well as bandwidth, latency and power requirements cum budgets. This project talks about the data transfer interfaces available on the ZYNQ platform, data throughputs of different interface along with advantages and disadvantages of each type of communication interface. Figure 2– Latency vs Development Time |
This project focus on the design of an application specific hardware for accelerating High Frequency Trading applications. It is optimized to achieve the lowest possible latency for interpreting market data feeds and hence enable minimal round-trip times for executing electronic stock trades. The implementation described in this work enables hardware decoding of Ethernet, IP and UDP as well as of the FAST protocol which is a common protocol to transmit market feeds.
For this purpose, we developed a microcode engine with a corresponding instruction set as well as a compiler which enables the flexibility to support a wide range of applied trading protocols. The complete system has been implemented in RTL code and evaluated on an FPGA. Our approach shows a 4x latency reduction in comparison to the conventional Software based approach. A typical HFT system consists of four main building blocks: network stack, financial protocol parsing, order book handling and custom application layer. Financial exchanges broadcast market updates along an Ethernet connection at typical line rates of 10 Gb/s.

The ZYNQ SoC based secure data transmission implementation in an embedded system shows that ZYNQ SoC based implementation uses less space & weight compared to Telemetry System. The high performance and lower latency plays an important role in any embedded system especially in the mission critical applications. The ZYNQ SoC supports shared memory access, it allows to achieve higher performance and lower latency in Embedded Multiprocessor based designs.
The Zynq-7000 internal architecture makes it possible to implement the custom IPs as well as logics in the PL. Also, it enables a custom software in the PS. It makes easier to develop a unique and differentiated functional systems. The PL & PS integration allows high level of performance and reliability that multi-chip based solutions (e.g. a FPGA with an ASSP) can’t afford because of their less number of I/O as well as bandwidth, latency and power requirements cum budgets.
This project talks about the data transfer interfaces available on the ZYNQ platform, data throughputs of different interface along with advantages and disadvantages of each type of communication interface.

Figure 2– Latency vs Development Time
| The main objectives of this project are
Figure 3– Project Objective |
The main objectives of this project are

Figure 3– Project Objective
| Implementation of project involves
Testing For testing our project, first we have to implement this on PC using loop-back test on Software simulation because if we get the desired/successful result on the PC then we can easily implement the same logic and idea on the hardware also known as ZYNQ chip. Testing of project involves the following steps;
The implementation described in this work enables hardware decoding of Ethernet, IP and UDP as well as of the FAST protocol which is a common protocol to transmit market feeds. It is optimized to achieve the lowest possible latency for interpreting market data feeds and hence enable minimal round-trip times for executing electronic stock trades.
Figure 4– Block Diagram of Tri-mode Ethernet in Vivado |
Implementation of project involves
Testing
For testing our project, first we have to implement this on PC using loop-back test on Software simulation because if we get the desired/successful result on the PC then we can easily implement the same logic and idea on the hardware also known as ZYNQ chip.
Testing of project involves the following steps;
The implementation described in this work enables hardware decoding of Ethernet, IP and UDP as well as of the FAST protocol which is a common protocol to transmit market feeds. It is optimized to achieve the lowest possible latency for interpreting market data feeds and hence enable minimal round-trip times for executing electronic stock trades.

Figure 4– Block Diagram of Tri-mode Ethernet in Vivado
| There are many benefits of this project for Pakistan financial and stock prediction systems as well as for local investors Some of the benefits are follow as below:
|
There are many benefits of this project for Pakistan financial and stock prediction systems as well as for local investors Some of the benefits are follow as below:
| The final deliverables are divided into Hardware and Software components: Software Deliverables In our project Software Deliverables will be:
Hardware Deliverables The Zynq-7000 internal architecture makes it possible to implement the custom IPs as well as logics in the PL. Also, it enables a custom software in the PS. It makes easier to develop a unique and differentiated functional systems. The PL & PS integration allows high level of performance and reliability that multi-chip based solutions (e.g. a FPGA with an ASSP) can’t afford because of their less number of I/O as well as bandwidth, latency and power requirements cum budgets. |
The final deliverables are divided into Hardware and Software components:
Software Deliverables
In our project Software Deliverables will be:
Hardware Deliverables
The Zynq-7000 internal architecture makes it possible to implement the custom IPs as well as logics in the PL. Also, it enables a custom software in the PS. It makes easier to develop a unique and differentiated functional systems. The PL & PS integration allows high level of performance and reliability that multi-chip based solutions (e.g. a FPGA with an ASSP) can’t afford because of their less number of I/O as well as bandwidth, latency and power requirements cum budgets.
| The main objectives of this project are
Figure 3– Project Objective |
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