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Embedded Technology


Navigating the complexities of multi-monitor connectivity


By Alban Rampon, senior product manager, Synaptics Incorporated T


he multi-monitor connectivity market is rife with unnecessary complexities, presenting confusing options for both IT professionals and consumers, and challenging product developers to come up with simplifi ed solutions. With a multitude of competing technologies, protocols, and brands, determining device compatibility with external displays, selecting suitable docking stations, and identifying necessary hardware can be daunting tasks.


Keeping up with the evolving landscape of connection protocols introduces further intricacies that may not be immediately apparent, even to experienced hardware developers, much less end users. New technologies arrive annually, each offering varying speed versions and support for different protocols based on cable and graphics capabilities. Merely having a label that reads “USB-C” does not guarantee full functionality as advertised.


Consequently, end users and IT experts must meticulously align interface revisions and bandwidth requirements to establish functional setups for themselves or their organisations. Despite expectations for improved options over time, the proliferation of choices seems to only exacerbate confusion. In light of the continually changing needs of today’s workplaces, exacerbated by trends towards remote work and the adoption of bring-your-own-device policies, seamless connectivity becomes paramount.


Categorizing multi-monitor devices: GPU-dependent vs. GPU-agnostic In the realm of multi-monitor connectivity devices, they generally fall into two categories: GPU-dependent and GPU-agnostic systems. GPU-dependent devices rely on direct interaction with a computer’s Graphics Processing Unit (GPU) for operation. Technologies like USB-C DisplayPort Alternate Mode or Thunderbolt interfaces are examples of this category. The performance and


40 July/August 2024


capabilities of such devices are intertwined with the specifi cations and restrictions of the GPU they connect to.


Conversely, GPU-agnostic devices employ technologies such as Synaptics’ DisplayLink to function independently from the computer’s GPU while still benefi ting from advancements in GPU performance across generations. By utilizing a blend of hardware and software for video signal processing, these devices offer greater fl exibility in terms of compatibility and scalability.


The distinction between these device categories underlies many challenges faced within the market regarding compatibility issues.


Addressing bandwidth limitations A notable drawback of GPU-dependent technologies is their inherent bandwidth constraints. Analogous to a congested roadway where buses represent data packets, these technologies demand high bandwidth to facilitate smooth data transfer effi ciently. Bandwidth availability is often limited by interface capabilities and GPU processing power. This constraint becomes especially pronounced as display resolutions and


Components in Electronics


refresh rates escalate, necessitating quicker transmission speeds for handling larger volumes of data effectively. GPU-dependent devices often lack support for dynamic compression, hindering their ability to adjust compression based on network requirements and available bandwidth. This limitation results in the transmission of uncompressed data, leading to potential congestion and bandwidth constraints. Consequently, GPU-dependent systems face restrictions in fl exibility and scalability, requiring users to


Figure 1: GPU-dependent solutions continually refresh the screens which can cause congestion as resolution and refresh rates increase. (Image source: Synaptics)


purchase specifi c interoperable devices and impeding upgrade processes.


However, despite these drawbacks, GPU- dependent technologies such as Thunderbolt can offer advantages over GPU-agnostic alternatives. Direct access to a computer’s GPU enables enhanced performance for graphics-intensive tasks, ensuring optimal utilization of processing capabilities for tasks like rendering complex graphics and videos. Applications requiring high precision and graphic quality, such as gaming, benefi t from


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