Accelerated functions setup¶
The easiest way to start, is by looking at the examples provided for each HUGenomic core. You can find the examples also in the accelerated functions section of this guide.
To execute one of the accelerated HUGenomic core you first need to configure the FPGA with the specific HUGenomic core you want to use.
Once the computation is over, or whenever you want to reconfigure the FPGA with a new HUGenomic core, remember to release and reconfigure the FPGA.
On this page you can find the methods in hugenomic.hpp
to perform the aforementioned operations.
Copyright (c) 2019, Huxelerate S.r.l. All rights reserved.
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namespace
hugenomic
Enums
Functions
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void
fpga_configure
(hugenomic_core core, uint32_t fpga_id)¶ Configure an HUGenomic core onto one of the available FPGAs. The number of available FPGAs varies according to the AWS F1 instance being selected (https://aws.amazon.com/it/ec2/instance-types/f1/):
f1.2xlarge: 1 FPGA (fpga id: 0)
f1.4xlarge: 2 FPGAs (fpga id from 0 to 1)
f1.16xlarge 8 FPGAs (fpga id from 0 to 7)
- Parameters
core
: The HUGenomic core to configure on the FPGAfpga_id
: Identifier of the FPGA
- Exceptions
invalid_fpga_identifier
: if an invalid FPGA identifier is specified
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void
fpga_release
(uint32_t fpga_id)¶ Release the resources allocated to a specific FPGA.
- Parameters
fpga_id
: The identifier of the FPGA (from 0 to 7)
- Exceptions
invalid_fpga_identifier
: If an invalid FPGA identifier is specified
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uint32_t
get_available_fpgas
()¶ Return the number of available FPGAs on the current instance.
- Note
When using the software emulator, this method always returns MAX_NUM_FPGA_PER_INSTANCE.
- Return
The number of available FPGAs
Variables
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const uint32_t
MAX_NUM_FPGA_PER_INSTANCE
= 8¶ The maximum number of FPGAs per AWS F1 instance.
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void