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VPU stands for Versatile Processing Unit and it's a CPU-integrated
inference accelerator for Computer Vision and Deep Learning
applications.
The VPU device consist of following components:
- Buttress - provides CPU to VPU integration, interrupt, frequency and
power management.
- Memory Management Unit (based on ARM MMU-600) - translates VPU to
host DMA addresses, isolates user workloads.
- RISC based microcontroller - executes firmware that provides job
execution API for the kernel-mode driver
- Neural Compute Subsystem (NCS) - does the actual work, provides
Compute and Copy engines.
- Network on Chip (NoC) - network fabric connecting all the components
This driver supports VPU IP v2.7 integrated into Intel Meteor Lake
client CPUs (14th generation).
Module sources are at drivers/accel/ivpu and module name is
"intel_vpu.ko".
This patch includes only very besic functionality:
- module, PCI device and IRQ initialization
- register definitions and low level register manipulation functions
- SET/GET_PARAM ioctls
- power up without firmware
Co-developed-by: Krystian Pradzynski <krystian.pradzynski@linux.intel.com>
Signed-off-by: Krystian Pradzynski <krystian.pradzynski@linux.intel.com>
Signed-off-by: Jacek Lawrynowicz <jacek.lawrynowicz@linux.intel.com>
Reviewed-by: Oded Gabbay <ogabbay@kernel.org>
Reviewed-by: Jeffrey Hugo <quic_jhugo@quicinc.com>
Signed-off-by: Daniel Vetter <daniel.vetter@ffwll.ch>
Link: https://patchwork.freedesktop.org/patch/msgid/20230117092723.60441-2-jacek.lawrynowicz@linux.intel.com
27 lines
1017 B
Plaintext
27 lines
1017 B
Plaintext
# SPDX-License-Identifier: GPL-2.0-only
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#
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# Compute Acceleration device configuration
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#
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# This framework provides support for compute acceleration devices, such
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# as, but not limited to, Machine-Learning and Deep-Learning acceleration
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# devices
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#
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menuconfig DRM_ACCEL
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bool "Compute Acceleration Framework"
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depends on DRM
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help
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Framework for device drivers of compute acceleration devices, such
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as, but not limited to, Machine-Learning and Deep-Learning
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acceleration devices.
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If you say Y here, you need to select the module that's right for
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your acceleration device from the list below.
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This framework is integrated with the DRM subsystem as compute
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accelerators and GPUs share a lot in common and can use almost the
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same infrastructure code.
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Having said that, acceleration devices will have a different
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major number than GPUs, and will be exposed to user-space using
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different device files, called accel/accel* (in /dev, sysfs
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and debugfs).
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source "drivers/accel/ivpu/Kconfig"
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