Company:Vivante Corporation

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Vivante CorporationFounded2004; 19?years agoHeadquartersSunnyvale, California, United StatesProductsSemiconductor intellectual propertyParentVeriSilicon Holdings Co., Ltd.Websiteverisilicon.com/en/IPPortfolio/VivanteGPUIP

Vivante Corporation ?is a fabless semiconductor company headquartered in Sunnyvale, California, with an R&D center in Shanghai, China. The company was founded in 2004 as GiQuila and focused on the portable gaming market. The company's first product was a DirectX-compatible graphics processing unit (GPU) capable of playing PC ?games. In 2007, GiQuila changed its name to Vivante and changed the ?direction of the company to focus on the design and licensing of embedded graphics processing unit ?designs. The company is licensing its Mobile Visual Reality to ?semiconductor solution providers that serve embedded computing markets ?for mobile gaming, high-definition home entertainment, image processing, ?and automotive display and entertainment.

Vivante used to be named as a contributor to the HSA (Heterogeneous System Architecture) Foundation.[1]

In 2015, VeriSilicon Holdings Co., Ltd. acquired Vivante Corporation in an all-stock transaction.[2]

Contents

• 1 Products

• 2 Adoption

• 3 GC8000 Series

• 4 Linux support

• 5 See also

• 6 References

• 7 External links

Products

Since changing directions Vivante has developed a range of GPU cores ?that are compliant with the OpenGL ES 1.1 and 2.0 standards as well as ?the OpenVG standard. Created by VeriSilicon support for the Vulkan API 1.0 and for OpenVX 1.0 is provided for at least 6 major desktop and embedded operating systems.[3]

2D graphics products & Vector GPUs, summarized by the vendor under the term "Composition Processing Cores" (CPC),[4] sometimes mentioned with the feature of single pass composition blending capability of 8 or higher, are the GC300,[5] GC320, GC350[6] and GP355 (OpenVG core[7])with the additional listing of GC200 and GC420.[8] NXP further mentions GC255 in a presentation for their i.MX models.[9] The NXP i.MX8 series will come with 2 units of the GC7000Lite or GC7000 vector processor.[10] For 3D graphics products please see the table below.

Legend for the notes in below listing:

• Pipelined FP/INT double (64-bit), single/high (32-bit) and ?half precision/medium (16-bit) precision IEEE formats for GPU Compute ?and HDR graphics, Source:[11]

SeriesModelDateShader Cores
SP/Half (mode)Silicon area (mm2)Core Clock
Max in MHzShader Clock
Max in MHzFillrate Bus width
(bit)API (version)Shader GFLOPS
(High=SP / Medium=Half)UsageM triangles/sG vertices/s(GP/s)(GT/s)OpenGL ESOpenVG OpenCL OpenGL Direct3D GCNanoGCNano Lite
1 (VEC-4)0.3 @ 28?nm100–200

@ 28HPM

100–200

@ 28HPM

400.10.2

N/A1.1N/AN/AN/A3.2?
GCNano
1 (VEC-4)0.5 @ 28?nm200 @ 28HPM200 @ 28HPM400.10.2

2.0

3.2[12]STM32MP157GCNano Ultra
(Vega-Lite)GCNano Ultra
1 (VEC-4)1 @ 28?nm400 @ 28HPM800 @ 28HPM800.20.4

1.2

optional

6.4NXP i.MX8M Mini GCNano Ultra3
1 (VEC-4)1.6 @ 28?nm400 @ 28HPM800 @ 28HPM800.20.4?

3.0

6.4?
GC200GC200

0.57 @ 65?nm[13]250 @ 65nmLP
375 @ 65nmG+


0.375
32/16N/AN/AN/AN/A
Jz4760[14] GC400GC400
1 (VEC-4)
4 (VEC-1)1.4
2 @ 65?nm[15]250 @ 65nmLP
375 @ 65nmG+
190.0940.188
32/162.0[16]1.1 EP[16]N/A113[16]NXP i.MX6 SoloX: GC400TGC500[17]








32/16



PXA920: GC530GC600GC600
1 (VEC-4)
4 (VEC-1)






32/161.2/1.13.0/2.111
CuBox GC800GC800
1 (VEC-4)
4 (VEC-1)2.5
3.38 @ 65?nm[18]800 @ 28HPM
250 @ 65nmLP
375 @ 65nmG+1000 @ 28HPM38 @ 65nmG+0.188 @ 65nmG+0.375 @ 65nmG+
32/163.0[19]1.2

optional

3.0/2.1118 / 16[20]RK291x,
ATM7013, ATM7019 GC860
1 (VEC-4)
4 (VEC-1)? @ 65nm[21]444
35
0.3
32/163.0/2.111
Jz4770: GCW Zero NOVO7 GC880
1 (VEC-4)
4 (VEC-1)


350.10.266
32/163.0/2.1113.2[22]NXP i.MX6 Solo and DualLite GCx000GC1000
(Vega-Lite)
2 (VEC-4)
8 (VEC-1)3.5
4.26 @ 65?nm[23]800 @ 28HPM
500 @ 65nmLP
750 @ 65nmG+1000 @ 28HPM123
58 @ 65nmG+0.5
0.375 @ 65nmG+0.8
0.75 @ 65nmG+
32/163.0/2.11116ATM7029: GC1000+,
Marvell PXA986,[24]
PXA988, PXA1088[14] GC2000
4 (VEC-4)
16 (VEC-1)6.9800 @ 28HPM1000 @ 28HPM26711.6
32/161.23.0/2.11132NXP i.MX6 Dual and Quad GC4000
8 (VEC-4)
32 (VEC-1)12.4[8]800 @ 28HPM1000 @ 28HPM26721.6
83.0/2.11164HiSilicon K3V2 Vega xXGC3000
(Vega 1X)
4/8 (VEC-4)
16/32 (VEC-1)
800 @ 28HPM1000 @ 28HPM26711.6
8/43.0/2.11132 / 64[25]NXP S32V234[26] GC5000
(Vega 2X)
8/16 (VEC-4)
32/64 (VEC-1)
800 @ 28HPM1000 @ 28HPM26711.6
32/163.0/2.11164 / 128Marvell PXA1928[27] GC6000
(Vega 4X)
GC6400?
16/32 (VEC-4)
64/128 (VEC-1)
800 @ 28HPM1000 @ 28HPM53343.2
32/163.0/2.111128 / 256
GC7000
(Vega 8X)
[28]GC7000 UltraLite
GC1500?[29]
8 Vega



0.5
0.832/163.0/2.11116 / 32Marvell PXA1908[30]NXP i.MX8M Nano[31] GC7000 Lite
GC7000L?
16 Vega



1
1.632/163.0/2.11132 / 64Marvel PXA1936[29]
NXP i.MX 8QuadPlus
NXP i.MX 8Quad

NXP i.MX8M

GC7000
32 Vega
800 @ 28HPM1000 @ 28HPM106726.43.232/163.0/2.11164 / 128NXP i.MX 8QuadMax GC7200
64 Vega



4
6.432/163.0/2.111128 / 256
GC7400
128 Vega



8
12.832/163.0/2.111256 / 512
GC7600
256 Vega



16
25.632/163.0/2.111512 / 1024
GC8000GC8000













SeriesModelDateShader Cores
SP/Half (mode)Silicon area (mm2)Core Clock
Max in MHzShader Clock
Max in MHzFillrate Bus width
(bit)API (version)Shader GFLOPS
(High=SP / Medium=Half)UsageM triangles/sG vertices/s(GP/s)(GT/s)OpenGL ESOpenVG OpenCL OpenGL Direct3D

Adoption

They have announced that as of 2009 they have at least fifteen licensees who have used their GPUs in twenty embedded designs.[32] Application processors using Vivante GPU technology:

• Marvell ARMADA range of SoCs[33]

• NXP / Freescale i.MX Series[34]

• Ingenic Semiconductor Jz4770[35]

• ICT Godson-2H[36][37]

• Rockchip RK2918

• Actions Semiconductor ATM7029

• HiSilicon K3V2

• InfoTM iMAP×210[38]

GC8000 Series

After Vivante was sold to VeriSilicon the Arcturus GC8000 series was ?released by VeriSilicon, which supports newer technologies such as ?OpenCL 3.0, OpenVX 1.2, OpenVG 1.1, OpenGL ES 3.2, OpenGL 4.0 and Vulkan ?1.1.[39]

Linux support

There are no plans on writing a new DRM/KMS driver kernel driver for the Vivante hardware, since Vivante previously put out their Linux kernel component under the GNU General Public License (GPL), instead of maintaining it as a proprietary blob. The free Gallium3D-style device driver etna_viv has surpassed Vivante's own proprietary user-space driver in some benchmarks.[40] ?It supports Vivante's product line of GC400 Series, GC800 Series, ?GC1000 Series, GC2000 Series, GC3000 Series, GC4000 Series, and ?GC7000lite.[41]

See also

• PowerVR – available as SIP block to 3rd parties

• Mali – available as SIP block to 3rd parties

• Adreno – found only on Qualcomm Snapdragon, could be available as SIP block to 3rd parties

• Tegra – family of SoCs for mobile computers, the graphics core could be available as SIP block to 3rd parties

• Atom family of SoCs – with Intel graphics core, not licensed to 3rd parties

• AMD mobile APUs – with AMD graphics core, not licensed to 3rd parties

References

• "HSA Foundation home page". 2013-12-20.

• 
  

• "VeriSilicon to Acquire Vivante Corporation in All-Stock Transaction". Vivante Corporation. 2015-10-12.

• 
  

• VeriSilicon: Embedded Vivante Dedicated Vision IP

• 
  

• "Composition Processing Cores (CPC)".

• 
  

• "Vivante GC300 - ChipEstimate.com IP Catalog".

• 
  

• "Vivante GC350 - ChipEstimate.com IP Catalog".

• 
  

• "Recording Not Found".

• 
  

• cnxsoft (January 19, 2013). "GPUs Comparison: ARM Mali vs Vivante GCxxx vs PowerVR SGX vs Nvidia Geforce ULP".

• 
  

• 2D and 3D Graphics in Freescale Devices

• 
  

• "i.MX8 Factsheet". NXP.

• 
  

• ""Vivante Vega 3D Technology", section "Unified Shader Architecture"".

• 
  

• "Vivante GPU ??GPU Talk".

• 
  

• "Vivante GC200 - ChipEstimate.com IP Catalog".

• 
  

• Mobile GPU (Vivante Graphics ...)

• 
  

• "Vivante GC400 - ChipEstimate.com IP Catalog".

• 
  

• Vivante Product Brief

• 
  

• "Company Profile for Vivante Corporation". August 1, 2008.

• 
  

• "Vivante GC800 - ChipEstimate.com IP Catalog".

• 
  

• "Vivante shipping GPU cores designed to support the latest OpenGL ES 3.0 specification".

• 
  

• "Vivante GPU (Freescale i.MX6)".

• 
  

• "Vivante GC860 GPU Specs - GadgetVersus".

• 
  

• "i.MX6SDL GC880 performance. - NXP Community". July 31, 2015.

• 
  

• "Vivante GC1000 - ChipEstimate.com IP Catalog".

• 
  

• "Marvell PXA986 Technical Specifications".

• 
  

• "GPGPU - Vivante Corporation".

• 
  

• "S32V234 Vision and Sensor Fusion Processor Family-NXP".

• 
  

• cnxsoft (February 26, 2014). "Marvell ARMADA Mobile PXA1928 SoC Features Four Cortex A53 Cores, Vivante GC5000 GPU, and LTE".

• 
  

• cnxsoft (April 19, 2014). "Vivante Unveils Details About GC7000 Series GPU IP Family".

• 
  

• "The Linley Group - Marvell Extends LTE Lineup".

• 
  

• "GFXBench - Unified cross-platform 3D graphics benchmark database".

• 
  

• Inc, NXP USA (2019-02-26). "NXP Accelerates Edge Computing Revolution". GlobeNewswire News Room (Press release). Retrieved 2019-09-06.

• 
  

• "Vivante Corporation Signs 15th GPU Licensee" (Press release). June 8, 2009. Archived from the original on November 20, 2009. Retrieved July 8, 2009.

• 
  

• "Vivante GPUs Power Marvell ARMADA Application Processors" (Press release). October 27, 2009. Archived from the original on November 6, 2009. Retrieved February 1, 2010.

• 
  

• "Vivante GPU IP Cores Power the Latest Freescale i.MX 6 Series of Application Processors" (Press release). April 26, 2011. Archived from the original on August 10, 2016. Retrieved July 31, 2011.

• 
  

• "Vivante GPU Core Brings Android 3.0 Honeycomb Support to Ingenic's Latest JZ4770 Application Processor" (Press release). June 13, 2011. Archived from the original on June 3, 2012. Retrieved December 13, 2011.

• 
  

• "Chinese Academy of Sciences Selects Vivante as GPU Partner for Netbooks" (Press release). June 29, 2009. Archived from the original on November 20, 2009. Retrieved December 13, 2011.

• 
  

• "Guess what is ready for tape out: It has a MIPS core and a GPU from Vivante". April 28, 2011.

• 
  

• "盈方微電子股份有限公司". InfoTM.

• 
  

• "Verisilicon Arcturus GC8000 series".

• 
  

• "Open-Source Vivante Driver In Some Cases Outperforming Proprietary Driver".

• 
  

1. "etna_pipe is currently compatible with at least the following GC chips". October 29, 2022.

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Vivanta

• Last updated

• November 22, 2022




• Vivanta

• Official logo of VivantaType
Private
• Industry
Hotels
• FoundedSeptember?2010;12?years agoNumber of locations22 hotels in 19 destinationsKey people
Natarajan Chandrasekaran
• (Chairman)


• Puneet Chhatwal (MD & CEO) ?
[1]
Parent
Indian Hotels Company Limited
• Website
Vivanta

Vivanta is an Indian hotel chain established in September 2010. [2] ?The brand is a part of the Indian Hotels Company Limited, a subsidiary of the TATA Group. [3]

Contents

• Introduction

• References

• External links

Introduction

• The brand Vivanta was born as a part of

The Indian Hotels Company Limited

• brand architecture exercise. With this the brand rolled over 19 of its hotels to the new brand.

[4]

• This brand architecture exercise was a part of their previous launch of The Gateway hotels,

[5]

• which is marketed as an upscale brand.

• VeriSilicon
VeriSilicon’s AI-ISP Breaks the Limits of Traditional Computer Vision Technologies


• by

Kalar Rajendiran

• on 10-13-2022 at 10:00 am




• Categories:

IP

• ,

Semiconductor Services

• ,

VeriSilicon


• 
  




• 
  

The tremendous growth in edge devices has focused the spotlight on ?Edge-AI processing for low latency, low power and low-DDR bandwidth ?compute needs. Many of these Edge-AI applications depend on effective ?and efficient processing of image and video streams which in turn relies ?on computer vision technology. In early September, VeriSilicon ?announced the launch of AI-ISP, an innovative AI image enhancement ?technology that the company claims that it can surpass what traditional ?computer vision technologies offer. The company credited its Glass to ?Glass (from camera-in to display-out) intelligent pixel processing IP ?portfolio and its innovative FLEXA? IP interconnection technology for ?this achievement. This blog will look into the nuts and bolts behind ?that claim.

About VeriSilicon

Many may already be familiar with VeriSilicon but a refresher will ?serve well as a backdrop for this blog. From more than two decades ago ?when the company started as a design service and a turnkey service ?provider, VeriSilicon has expanded and evolved a lot as well. The ?company is committed to providing customers one-stop custom silicon ?solutions through its silicon services and IP licensing services of ?in-house semiconductor IP. Customers benefit from its “Silicon Platform ?as a Service (SiPaaS?) model that enables design efficiencies and higher ?quality while lowering product risk and development costs. VeriSilicon ?can create custom silicon products from definition to test and package ?within short cycle times.

The company has delivered a variety of custom silicon solutions ?supporting applications such as high-definition audio, video, high-end ?processing, video surveillance, IoT connectivity, smart wearable, and ?many others. It leverages an in-house IP portfolio of more than 1,400 ?analog and mixed-signal IPs and RF IPs along with processor IPs. Its ?processor IPs fall into the following main types: GPU, NPU, VPU, DSP, ?ISP and Display Processor, plus VeriSilicon FLEXA? IP fusion technology.

AI-ISP Technology

Under its platform model, VeriSilicon continues to fuse multiple ?technologies to address the industry challenges by breaking the limit of ?the traditional approaches. The VeriSilicon AI-ISP technology is a ?result of such a push to support the Edge-AI processing domain. The ?technology combines VeriSilicon’s Neural Network Processing (NPU) ?technology with its Image Signal Processing (ISP) technology to deliver ?innovative image quality enhancement for computer vision. The AI-ISP is ?built on an intelligent workload balancing architecture that optimizes ?power consumption and memory access. It is built for applications that ?demand ultra-low power consumption under near-zero illuminance ?conditions. VeriSilicon’s AI-ISP can be leveraged to benefit ?smartphones, automotive electronics, surveillance camera systems, and ?Industrial Internet of Things (IIoT) among many other applications.

AI-ISP Leverages Already Proven Technologies

VeriSilicon develops its various IPs with the SiPaaS model in mind. ?Its various IP technologies support each other to deliver enhanced ?results. For example, its Image Signal Processing (ISP) IP focuses the ?target area to obtain a clearer image and set things up for its Network ?Processing Unit (NPU) to perform detection and recognition functions. On ?the other hand, its NPU is capable of performing dark light, noise ?reduction during the ISP processing, for further enhancement of image ?quality. Following are the underlying technologies that the AI-ISP ?offering leverages.

VeriSilicon FLEXA?

VeriSilicon’s FLEXA? is an innovative, low-power and low latency ?interface communication technology that allows ISPs to read, write and ?access data directly from the NPU. The FLEXA API is built around a ?hardware and software protocol that enables efficient data communication ?between multiple pixel processing IP blocks. Systems built with FLEXA ?compliant IPs can leverage the API to run AI applications to reduce DDR ?traffic and achieve low pixel processing latencies.

Image Signal Processing (ISP) Technology

VeriSilicon’s ISP technology is already market proven through customer adoption of various cores from its ISP product portfolio.

It’s worth mentioning that VeriSilicon’s ISP8000L-FS V5.0.0 has ?achieved both ISO 26262 and IEC 61508 functional safety standards, which ?is the company’s first IP that aligns with dual international ?functional safety standards. The ISP8000L-FS V5.0.0 is designed for ?advanced and high-performance camera-based applications, which supports ?dual cameras with single 4K@60fps or dual 4K@30fps video capturing. It ?also integrates HDR (High Dynamic Range) processing, 2D/3D noise ?reduction technologies, and built-in functional safety mechanisms. The ?ISP8000L-FS V5.0.0 has been certified by both ISO 26262 and IEC 61508 ?functional safety standards, which marks a significant milestone in ?VeriSilicon’s expansion of its functional safety IP portfolio. Adopting ?the certified ISP IP will help customers accelerate their product ?development process with reduced risk of systematic failures and random ?hardware failures in safety-critical automotive and industrial ?applications.

To read the press announcement, go here.

Neural Network Processor (NPU) Technology

VeriSilicon’s NPU technology is already market proven through ?customer adoption of various cores from its NPU product portfolio. It ?incorporates self-adaptive resolution calculation and multi-frame fusion ?function, as well as excellent noise reduction performance even in low ?light conditions. The technology comes with a complete software stack ?and software development kit (SDK) that supports deep learning ?frameworks including Tensorflow, PyTorch, ONNX, TVM, and IREE. For the ?specific cores that support various applications from IoT and Wearables ?to Automotive and Data Centers, refer to the Figure below.

Summary

As a SiPaaS company, VeriSilicon continues to bring valuable IP cores ?and integration services to benefit its customer base. Customers are ?enabled to implement efficient, low-power integrated solutions that can ?perform beyond the limitations of traditional approaches. Its customer ?base covers consumer electronics, automotive, computer and peripheral, ?data processing, IoT and other applications.

To learn more about VeriSilicon, visit their website.

To read the press announcement about AI-ISP, go here.