Moving data between processing nodes - whether servers in a data centre or specialised computing nodes used for supercomputing and artificial intelligence (AI) - is becoming a performance bottleneck.
Workloads continue to grow yet networking isn’t keeping pace with processing hardware, resulting in the inefficient use of costly hardware.
Networking also accounts for an increasing proportion of the overall power consumed by such computing systems.
These trends explain the increasing interest in placing optics alongside chips and co-packaging the two to boost input-output (I/O) capacity and reach.
At the ECOC 2020 exhibition and conference held virtually, start-up Ayar Labs showcased its first working TeraPHY, an optical I/O chiplet, manufactured using GlobalFoundries’ 45nm silicon-photonics process.
GlobalFoundries is a strategic investor in Ayar Labs and has been supplying Ayar Labs with TeraPHY chips made using its existing 45nm silicon-on-insulator process for radio frequency (RF) designs.
The foundry’s new 300mm wafer 45nm silicon-photonics process follows joint work with Ayar Labs, including the development of the process design kit (PDK) and standard cells.
“This is a process that mixes optics and electronics,” says Hugo Saleh, vice president of marketing and business development at Ayar Labs (pictured). “We build a monolithic die that has all the logic to control the optics, as well as the optics,” he says.
The latest TeraPHY design is an important milestone for Ayar Labs as it looks to become a volume supplier. “None of the semiconductor manufacturers would consider integrating a solution into their package if it wasn’t produced on a qualified high-volume manufacturing process,” says Saleh.
Applications
The TeraPHY chiplet can be co-packaged with such devices as Ethernet switch chips, general-purpose processors (CPUs), graphics processing units (GPUs), AI processors, and field-programmable gate arrays (FPGAs).
Ayar Labs says it is engaged in several efforts to add optics to Ethernet switch chips, the application most associated with co-packaged optics, but its focus is AI, high-performance computing and aerospace applications.
Last year, Intel and Ayar Labs detailed a Stratix 10 FPGA co-packaged with two TeraPHYs for a phased-array radar design as part of a DARPA PIPES and the Electronics Resurgence Initiative backed by the US government.
Adding optical I/O chiplets to FPGAs suits several aerospace applications including avionics, satellite and electronic warfare.
TeraPHY chiplet
The ECOC-showcased TeraPHY uses eight transmitter-receiver pairs, each pair supporting eight channels operating at either 16, 25 or 32 gigabit-per-second (Gbps), to achieve an optical I/O of up to 2.048 terabits.
The chiplet can use either a serial electrical interface or Intel’s Advanced Interface Bus (AIB), a wide-bus design that uses slower 2Gbps channels. The latest TeraPHY uses a 32Gbps non-return-to-zero (NRZ) serial interface and Saleh says the company is working on a 56Gbps version.
The company has also demonstrated 4-level pulse-amplitude modulation (PAM-4) technology but many applications require the lowest latency links possible.
“PAM-4 gives you a higher data rate but it comes with the tax of forward-error correction,” says Saleh. With PAM-4 and forward-error correction, the latency is hundreds of nanoseconds (ns), whereas the latency is 5ns using a NRZ link.
Ayar Labs’s next parallel I/O AIB-based TeraPHY design will use Intel’s AIB 1.0 specification and will use 16 cells, each having 80, 2Gbps channels, to achieve a 2.5Tbps electrical interface.
In contrast, the TeraPHY used with the Stratix 10 FPGA has 24 AIB cells, each having 20, 2Gbps channels for an overall electrical bandwidth of 960 gigabits, while its optical I/O is 2.56Tbps since 10 transmit-receive pairs are used.
The optical bandwidth is deliberately higher than the electrical bandwidth. First, not all the transmit-receive macros on the die need to be used. Second, the chiplet has a crossbar switch that allows one-to-many connections such that an electrical channel can be sent out on more than one optical interface and vice versa.
Architectures
Saleh points to several recent announcements that highlight the changes taking place in the industry that are driving new architectural developments.
He cites AMD acquiring programmable logic player, Xilinx; how Apple instances are now being hosted in Amazon Web Services’ (AWS) cloud to aid developers and Apple's processors, and how AWS and Microsoft are developing their own processors.
“Processors can now be built by companies using TSMC’s leading process technology using the ARM and RISC-V processor ecosystems,” he says. “AWS and Microsoft can target their codebase to whatever processor they want, including one developed by themselves.”
Saleh notes that Ethernet remains a key networking technology in the data centre and will continue to evolve but certain developments do need something else.
Applications such as AI and high-performance computing would benefit from a disaggregated design whereby CPUs, GPUs, AI devices and memory are separated and pooled. An application can then select the hardware it needs for the relevant pools to create the exact architecture it needs.
“Some of these new applications and processors that are popping up, there is a lot of benefit in a one-to-one and one-to-many connections,” he says. “The Achilles heel has always been how you disaggregate the memory because of latency and power concerns. Co-packaged optics with the host ASIC is the only way to do that.”
It will also be the only way such disaggregated designs will work given that far greater connectivity - estimated to be up to 100x that of existing systems - will be needed.
Expansion
Ayar Labs announced in November that it had raised $35 million in the second round of funding which, it says, was oversubscribed. This adds to its previous funding of $25 million.
The latest round includes four new investors and will help the start-up expand and address new markets.
One investor is a UK firm, Downing, that will connect Ayar Labs to European R&D and product opportunities. Saleh mentions the European Processor Initiative (EPI) that is designing a family of low-power European processors for extreme-scale computing. “Working with Downing, we are getting introduced into some of these initiatives including EPI and having conversations with the principals,” he says.
In turn, SGInnovate, a venture capitalist funded by the Singapore government, will help expand Ayar Labs’ activities in Asia. The two other investors are Castor Ventures and Applied Ventures, the investment arm of Applied Materials, the supplier of chip fabrication plant equipment.
“Applied Materials want to partner with us to develop the methodologies and tools to bring the technology to market,” says Saleh.
Meanwhile, Ayar Labs continues to grow, with a staff count approaching 100.