Scalable Network Stack supporting TCP/IP, RoCEv2, UDP/IP at 10-100Gbit/s

Table of contents

1. Getting Started
2. Compiling HLS modules
3. Interfaces
   1. TCP/IP
   2. ROCE
4. Benchmarks
5. Publications
6. Citation
7. Contributors

Getting Started

Prerequisites

• Xilinx Vivado 2019.1
• cmake 3.0 or higher

Supported boards (out of the box)

• Xilinx VC709
• Xilinx VCU118
• Alpha Data ADM-PCIE-7V3

Compiling (all) HLS modules and install them to your IP repository

0. Optionally specify the location of your IP repository:

export $IPREPO_DIR=/home/myname/iprepo

1. Create a build directory

mkdir build
cd build

2.a) Configure build

cmake .. -DDATA_WIDTH=64 -DCLOCK_PERIOD=3.1 -DFPGA_PART=xcvu9p-flga2104-2L-e -DFPGA_FAMILY=ultraplus -DVIVADO_HLS_ROOT_DIR=/opt/Xilinx/Vivado//2019.1/bin/

2.b)Alternatively you can use one the board name ot configure your build

cmake .. -DDEVICE_NAME=vcu118

All cmake options:

3. Build HLS IP cores and install them into IP repository

make installip

For an example project including the TCP/IP stack or the RoCEv2 stack with DMA to host memory checkout our Distributed Accelerator OS DavOS.

Working with individual HLS modules

1. Setup build directory, e.g. for the TCP module

$ cd hls/toe
$ mkdir build
$ cd build
$ cmake .. -DFPGA_PART=xcvu9p-flga2104-2L-e -DDATA_WIDTH=8 -DCLOCK_PERIOD=3.1

2. Run c-simulation

$ make csim

3. Run c-synthesis

$ make synthesis

4. Generate HLS IP core

$ make ip

5. Install HLS IP core into the IP repository

$ make installip

Interfaces

All interfaces are using the AXI4-Stream protocol. For AXI4-Streams carrying network/data packets, we use the following definition in HLS:

template <int D>
struct net_axis
{
	ap_uint<D>    data;
	ap_uint<D/8>  keep;
	ap_uint<1>    last;
};

TCP/IP

Open Connection

To open a connection the destination IP address and TCP port have to provided through the s_axis_open_conn_req interface. The TCP stack provides an answer to this request through the m_axis_open_conn_rsp interface which provides the sessionID and a boolean indicating if the connection was openend successfully.

Interface definition in HLS:

struct ipTuple
{
	ap_uint<32>	ip_address;
	ap_uint<16>	ip_port;
};
struct openStatus
{
	ap_uint<16>	sessionID;
	bool		success;
};

void toe(...
	hls::stream<ipTuple>& openConnReq,
	hls::stream<openStatus>& openConnRsp,
	...);

Close Connection

To close a connection the sessionID has to be provided to the s_axis_close_conn_req interface. The TCP/IP stack does not provide a notification upon completion of this request, however it is guranteeed that the connection is closed eventually.

Interface definition in HLS:

hls::stream<ap_uint<16> >& closeConnReq,

Open a TCP port to listen on

To open a port to listen on (e.g. as a server), the port number has to be provided to s_axis_listen_port_req. The port number has to be in range of active ports: 0 - 32767. The TCP stack will respond through the m_axis_listen_port_rsp interface indicating if the port was set to the listen state succesfully.

Interface definition in HLS:

hls::stream<ap_uint<16> >& listenPortReq,
hls::stream<bool>& listenPortRsp,

Receiving notifications from the TCP stack

The application using the TCP stack can receive notifications through the m_axis_notification interface. The notifications either indicate that new data is available or that a connection was closed.

Interface definition in HLS:

struct appNotification
{
	ap_uint<16>			sessionID;
	ap_uint<16>			length;
	ap_uint<32>			ipAddress;
	ap_uint<16>			dstPort;
	bool				closed;
};

hls::stream<appNotification>& notification,

Receiving data

If data is available on a TCP/IP session, i.e. a notification was received. Then this data can be requested through the s_axis_rx_data_req interface. The data as well as the sessionID are then received through the m_axis_rx_data_rsp_metadata and m_axis_rx_data_rsp interface.

Interface definition in HLS:

struct appReadRequest
{
	ap_uint<16> sessionID;
	ap_uint<16> length;
};

hls::stream<appReadRequest>& rxDataReq,
hls::stream<ap_uint<16> >& rxDataRspMeta,
hls::stream<net_axis<WIDTH> >& rxDataRsp,

Waveform of receiving a (data) notification, requesting data, and receiving the data:

Transmitting data

When an application wants to transmit data on a TCP connection, it first has to check if enough buffer space is available. This check/request is done through the s_axis_tx_data_req_metadata interface. If the response through the m_axis_tx_data_rsp interface from the TCP stack is positive. The application can send the data through the s_axis_tx_data_req interface. If the response from the TCP stack is negative the application can retry by sending another request on the s_axis_tx_data_req_metadata interface.

Interface definition in HLS:

struct appTxMeta
{
	ap_uint<16> sessionID;
	ap_uint<16> length;
};
struct appTxRsp
{
	ap_uint<16> sessionID;
	ap_uint<16> length;
	ap_uint<30> remaining_space;
	ap_uint<2>  error;
};

hls::stream<appTxMeta>& txDataReqMeta,
hls::stream<appTxRsp>& txDataRsp,
hls::stream<net_axis<WIDTH> >& txDataReq,

Waveform of requesting a data transmit and transmitting the data.

RoCE (RDMA over Converged Ethernet)

Load Queue Pair (QP)

Before any RDMA operations can be executed the Queue Pairs have to established out-of-band (e.g. over TCP/IP) by the hosts. The host can the load the QP into the RoCE stack through the s_axis_qp_interface and s_axis_qp_conn_interface interface.

Interface definition in HLS:

typedef enum {RESET, INIT, READY_RECV, READY_SEND, SQ_ERROR, ERROR} qpState;

struct qpContext
{
	qpState		newState;
	ap_uint<24> qp_num;
	ap_uint<24> remote_psn;
	ap_uint<24> local_psn;
	ap_uint<16> r_key;
	ap_uint<48> virtual_address;
};
struct ifConnReq
{
	ap_uint<16> qpn;
	ap_uint<24> remote_qpn;
	ap_uint<128> remote_ip_address;
	ap_uint<16> remote_udp_port;
};

hls::stream<qpContext>&	s_axis_qp_interface,
hls::stream<ifConnReq>&	s_axis_qp_conn_interface,

Issue RDMA commands

RDMA commands can be issued to RoCE stack through the s_axis_tx_meta interface. In case the commands transmits data. This data can be either originate from the host memory as specified by the local_vaddr or can originate from the application on the FPGA. In the latter case the local_vaddr is set to 0 and the data is provided through the s_axis_tx_data interface.

Interface definition in HLS:

typedef enum {APP_READ, APP_WRITE, APP_PART, APP_POINTER, APP_READ_CONSISTENT} appOpCode;

struct txMeta
{
	appOpCode 	op_code;
	ap_uint<24> qpn;
	ap_uint<48> local_vaddr;
	ap_uint<48> remote_vaddr;
	ap_uint<32> length;
};
hls::stream<txMeta>& s_axis_tx_meta,
hls::stream<net_axis<WIDTH> >& s_axis_tx_data,

Waveform of issuing a RDMA read request:

Waveform of issuing an RDMA write request where data on the FPGA is transmitted:

Benchmarks

(Coming soon)

Publications

• D. Sidler, G. Alonso, M. Blott, K. Karras et al., Scalable 10Gbps TCP/IP Stack Architecture for Reconfigurable Hardware, in FCCM’15, Paper, Slides

• D. Sidler, Z. Istvan, G. Alonso, Low-Latency TCP/IP Stack for Data Center Applications, in FPL'16, Paper

• D. Sidler, Z. Wang, M. Chiosa, A. Kulkarni, G. Alonso, StRoM: smart remote memory, in EuroSys'20, Paper

Citation

If you use the TCP/IP stack or the RDMA stack in your project please cite one of the following papers and/or link to the github project:

@INPROCEEDINGS{sidler2015tcp, 
	author={D. Sidler and G. Alonso and M. Blott and K. Karras and others}, 
	booktitle={FCCM'15}, 
	title={{Scalable 10Gbps TCP/IP Stack Architecture for Reconfigurable Hardware}}, 
}
@INPROCEEDINGS{sidler2016lowlatencytcp, 
	author={D. Sidler and Z. Istvan and G. Alonso}, 
	booktitle={FPL'16}, 
	title={{Low-Latency TCP/IP Stack for Data Center Applications}}, 
}
@PHDTHESIS{sidler2019innetworkdataprocessing,
	author = {Sidler, David},
	publisher = {ETH Zurich},
	year = {2019-09},
	copyright = {In Copyright - Non-Commercial Use Permitted},
	title = {In-Network Data Processing using FPGAs},
}
@INPROCEEDINGS{sidler2020strom,
	author = {Sidler, David and Wang, Zeke and Chiosa, Monica and Kulkarni, Amit and Alonso, Gustavo},
	booktitle = {Proceedings of the Fifteenth European Conference on Computer Systems},
	title = {StRoM: Smart Remote Memory},
	doi = {10.1145/3342195.3387519},
}

Contributors

• David Sidler, Systems Group, ETH Zurich
• Monica Chiosa, Systems Group, ETH Zurich
• Zhenhao He, Systems Group, ETH Zurich
• Mario Ruiz, HPCN Group of UAM, Spain
• Kimon Karras, former Researcher at Xilinx Research, Dublin
• Lisa Liu, Xilinx Research, Dublin