Editing google/pixel visual core

{{google title|Pixel Visual Core (PVC)}}
{{chip
|chip type=image processor
|name=Pixel Visual Core
|no image=Yes
|designer=Google
|manufacturer=TSMC
|part number=X726C502
|s-spec=SR3HX
|market=Mobile
|market 2=Embedded
|first announced=October 17, 2017
|first launched=October 17, 2017
|frequency=800 MHz
|isa=vISA
|isa 2=pISA
|process=28 nm
|technology=CMOS
|tdp=8 W
}}
'''Pixel Visual Core''' ('''PVC''') is an advanced [[image processing unit]] custom designed by [[Google]] introduced in late [[2017]] for their [[wikipedia:Pixel 2|Pixel 2]] smartphone and future [[IoT]] applications. Designed by Google and fabricated by TSMC on their [[28 nm process|28HPM process]], the IPU is a fully-programmable [[domain-specific processor]] designed from the ground-up in order to deliver the highest performance at low power.

== Overview ==
The pixel visual core is designed as a co-processor for various consumer products. Although it's currently only used in the Pixel 2 smartphone, Google have plans to use it in other IoT products in the future. The chip itself incorporates a dedicate [[ARM Holdings|ARM]] {{armh|Cortex-A53|l=arch}} core which handles the application-level resource requests and configures the core to handle the specific workload. For example, if the application sends a request to capture an image using HDR+, the management core will reconfigure the processing units such that an image captured by the camera will get processed and transformed into HDR+ format. The PVC is optimized for high performance by [[racing to sleep]] with a power budget of 6-8 W for very short bursts for around 10-20 seconds an dropping back down to milliwatt when idle. The chip relies equally on both hardware and software in order to achieve the high performance and efficiency by using TensorFlow for machine learning and Halide for image processing.

=== Architecture ===
The chip incorporates eight [[image processing units]] (IPUs) custom cores, each comprise 512 [[arithmetic logic units]] consisting of 256 processing elements (PEs) arranged as a 16 x 16 2-dimensional array. Those cores execute a custom [[VLIW]] ISA designed to expose maximum instruction-level and multiple program data parallelism. Though the chip supports 32-bit integers, the native operations are done on a much simpler logic that operates on 8-bit and 16-bit integers, thus larger data sizes will operate at half throughput. The basic primitive of the stencil operations is the [[multiply-accumulate]] which can accumulate 32 bits and multiply 16 bits.

There are two 16-bit ALUs per processing element and they can operate in three distinct ways: independent, joined, and fused. In the most common case, independent, the two ALUs can operate independently on two pairs of different operates (i.e., A1 op B1 and A2 op B2) while in the joined mode, the two ALUs act as a single big ALU producing 32-bit values. In the fused mode, the two ALUs are combined to form a fused 16-bit operation (i.e., A op [B op C]).

Because the [[MACs]] are not [[pipelined]], they set the clock cycle. At 800 MHz, the chip is capable of 4,096 FLOPs/cycle (2*16*16*8) or 3.28 TeraFLOPS per second of raw compute power.

== ISA ==
The exposed vISA is deployed as pISA to the individual cores. The pISA is a 119-bit [[VLIW]].

<table class="wikitable">
<tr><th>Field</th><td>Scalar</td><td>Math</td><td>Memory</td><td>Imm</td><td>MemImm</td></tr>
<tr><th>Bits</th><td>43</td><td>38</td><td>12</td><td>16</td><td>10</td></tr>
</table>

== Die ==
=== Floorplan ===
:[[File:google pvc floorplan.png|450px]]
=== Die ===
* TSMC 28nm 28HPM process
:[[File:google pvc die.png|class=wikichip_ogimage|450px]]

== References ==
* ''Some information was obtained directly from Google''
* IEEE ISSCC 2018
* Ofer Shacham, "[https://blog.google/products/pixel/pixel-visual-core-image-processing-and-machine-learning-pixel-2/ Pixel Visual Core: image processing and machine learning on Pixel 2]", Oct 17, 2017.
* Matt Cockrell, "Use of RISC-V on Pixel Visual Core", RISC-V Workshop Barcelona, May 8, 2018
*  John L. Hennessy, David A. Patterson, "Computer Architecture: A Quantitative Approach"
base frequency	800 MHz (0.8 GHz, 800,000 kHz) +
designer	Google +
first announced	October 17, 2017 +
first launched	October 17, 2017 +
full page name	google/pixel visual core +
isa	vISA + and pISA +
ldate	October 17, 2017 +
manufacturer	TSMC +
market segment	Mobile + and Embedded +
name	Pixel Visual Core +
part number	X726C502 +
process	28 nm (0.028 μm, 2.8e-5 mm) +
s-spec	SR3HX +
tdp	8 W (8,000 mW, 0.0107 hp, 0.008 kW) +
technology	CMOS +