Coral FPGA manager is a framework that allows the distributed acceleration of large data sets across clusters of FPGA resources using simple programming models.
It is designed to scale up from single devices to multiple FPGAs, each offering local computation and storage. It also allows sharing of the resources from multiple applications, processes and users automatically.
Scale-out your applications to multiple FPGAs on the same server or to multiple servers (using Kubernetes plug-in) without changing your code.
InAccel dispatches the accelerated functions to the FPGA cluster automatically.
It also allows automatically scaling to multiple kernels on the same FPGA.
InAccel manager allows seamless sharing of the FPGA resources. from:
– Multiple threads
– Multiple processes
– Multiple applications
– Multiple users
It allows dynamic resource management and scheduling of the accelerated function to the FPGA cluster automatically.
It also allows automatic management of the bitstreams.
InAccel offers all the required high-level functions (APIs) that make it easy to accelerate your applications by offloading the most computationally intensive tasks to the FPGAs.
No need to modify your application or to use an unfamiliar parallel programming language (like OpenCL).
And you can use it interactively from C/C++, Scala and Python shells.
InAccel decouples the bitstreams from the Software developer.
SW developers do not need any more to work with bitstreams.
FPGA Resource Manager automatically fetch the right bitstream based on the requested function invoking and handles the programming and scheduling of the FPGAs.
Deploy FPGAs as easy as any other software library.
InAccel FPGA orchestrator comes with a unique Monitor tool that allows to get valuable insight on the performance of the kernels in the FPGAs.
The monitor tool can be used to get valuable information for the execution of the accelerators in the FPGAs that helps optimize the performance of your applications.
Launch a container with InAccel’s Docker image or even deploy it as a daemonset on a Kubernetes cluster and enjoy acceleration services at the drop of a hat.
Deploy your accelerators from Apache Spark, Scikit-learn, Keras, Jupyter notebooks and H2O.
Instant deployment with zero code changes.
Kubernetes on FPGA extends the industry standard container orchestration platform with FPGA acceleration capabilities.
With first class support for FPGA resources scheduling, developers and DevOps engineers can now build, deploy, orchestrate and monitor FPGA-accelerated application deployments on heterogeneous, multi-cloud clusters.
Coral allows the secure sharing of the hardware resources among different users and multiple processes or threads.
First class isolation support for accelerator cores and FPGA memory.
InAccel supports all the FPGA boards compatible with the OpenCL frameworks from Xilinx and Intel.
“InAccel framework gives you a great abstraction layer resulting in less code. It has a monitoring tool and other language bindings like Python, etc. making it very easy to integrate with our applications”
“…this is where InAccel’s framework helps immensely: we don’t need to code MT C++, rather we call the FPGA from multiple workers and we let the InAccel framework schedule the FPGA workloads as fast as possible.”
Flumaion – FinTech pioneer