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In 2015, the FPGA industry’s biggest shifts were the race toward 14nm and 16nm FinFET chips, tighter integration of processors and programmable logic, and growing interest in using FPGAs to accelerate communications, data-center, industrial, and automotive workloads. These were not all mature products or proven outcomes: the year’s story was as much about announcements and expectations as about what customers could deploy.
Why did process technology dominate the FPGA conversation?
Smaller manufacturing processes promised more logic and better performance per watt, but the move to FinFET manufacturing raised practical questions about when products would arrive, how well they would yield, and whether design tools and supply could keep pace. A December 2014 EE Times analysis described the market as waiting for the first 14nm and 16nm FPGA releases and argued that samples, yields, wafer costs, and tool maturity could determine whether advertised advantages translated into customer wins.
| Vendor and 2015 position | Process and product status described at the time | What the comparison means |
|---|---|---|
| Xilinx | 20nm UltraScale products were already part of its lineup; on February 23, 2015, Xilinx announced 16nm UltraScale+ FPGAs, 3D ICs, and MPSoCs. | Xilinx had a 20nm product position and announced its next process-generation family. The announcement alone does not establish the later availability or production maturity of every device. |
| Altera | Stratix 10 was planned for 14nm manufacturing using Intel’s process technology. | Altera’s planned 14nm move made its manufacturing relationship a central part of the competition, but a target process is not the same as a demonstrated production advantage. |
Those distinctions matter: comparing a shipping product with a process roadmap can make the newer node sound more settled than it was. The competitive question was not simply which number—14, 16, or 20—was smallest, but whether usable devices, yields, software support, and customer designs would arrive together.
Were FPGA systems becoming more like processors?
Yes. FPGAs were increasingly used alongside embedded processors, and programmable-SoC devices combined a processor subsystem with reconfigurable logic on one chip. That let designers assign software-friendly control tasks to processors and customized or parallel work to programmable fabric, rather than treating the FPGA solely as a collection of logic resources.
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A Wilson Research Group study of FPGA design activity conducted in 2014 and reported in 2015 found that 56% of FPGA designs included one or more embedded processors. The same study reported that programmable-SoC FPGA project adoption grew by over 93% between 2012 and 2014. It cited Xilinx Zynq, Altera Arria and Cyclone, and Microsemi SmartFusion as examples of targets. These are survey figures about designs and projects, not a measure of devices shipped or systems in volume production.
What workloads were vendors targeting?
The applications show why integration and power efficiency mattered: an FPGA could be configured for a specific workload and updated after deployment, while a processor supplied software programmability. In its February 2015 UltraScale+ announcement, Xilinx positioned the family for several demanding or evolving areas:
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- Wireless communications: LTE Advanced and early 5G workloads.
- Wired communications: terabit-class networking applications.
- Automotive: advanced driver-assistance systems (ADAS).
- Industrial systems: industrial IoT applications.
Xilinx also highlighted integrated memory, SmartConnect interconnect optimization, and 3D IC packaging. It claimed “2–5X greater system level performance/watt over 28nm devices.” That figure is the vendor’s announced comparison, not an independent benchmark that applies to every design or device.
Beyond Xilinx’s stated targets, FPGAs were relevant to industrial control, defense, and video or vision systems where adaptable hardware could be useful. The fit depended on the application: programmable logic offered customization and the possibility of field updates, but those benefits had to justify design effort and system cost.
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What did Intel’s Altera deal signal for data centers and IoT?
On June 1, 2015, Intel announced an agreement to acquire Altera and described a strategy of combining FPGAs with its processor platforms. For data centers, Intel argued that pairing Xeon processors with FPGAs could improve performance and reduce cost by accelerating selected workloads. For IoT and automotive applications, it proposed Atom-plus-FPGA products as alternatives in areas traditionally served by application-specific integrated circuits (ASICs) and application-specific standard products (ASSPs).
Intel estimated that Atom-plus-FPGA integration could open an incremental $11 billion serviceable available market for IoT by 2020. It also forecast limited shipments of co-packaged Xeon/FPGA products in the second half of 2016. Both figures were Intel’s projections in 2015, not independently verified results or evidence that those shipments or market gains subsequently occurred.
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What mattered besides the process node?
A smaller transistor process did not automatically make an FPGA the best choice. Designers and buyers also had to weigh the full implementation and lifecycle:
- Logic, memory, and connectivity: available logic capacity, embedded memory, high-speed transceivers, and packaging options such as 3D integration shaped what could fit and how components communicated.
- Processor and fabric balance: an SoC’s hard processor subsystem, programmable fabric, and interconnect determined how well it divided control software from custom acceleration.
- Tools and reusable IP: synthesis, place-and-route, verification effort, standard on-chip buses, and the availability of reusable IP affected development time and risk.
- Power, price, and board cost: a claimed performance-per-watt advantage had to be considered alongside device pricing and the cost of the complete board or system.
- Supply and lifecycle: manufacturing access, product maturity, vendor availability, incumbent designs, and field upgradability could matter more than peak logic capacity for a deployed system.
What is the fairest way to read the 2015 outlook?
2015 was a transition year, not a clean handoff to a settled new generation. Xilinx had 20nm UltraScale products and announced 16nm UltraScale+; Altera was aiming at 14nm Stratix 10 with Intel manufacturing. At the same time, survey data showed processor integration becoming common in design projects, and Intel made a strategic case for FPGA acceleration in data centers and IoT.
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The central promise was flexibility: programmable logic could be tailored to a changing workload, combined with processors, and potentially updated in the field. Whether that promise paid off in a given product still depended on implementation tools, IP, power, economics, manufacturing readiness, and the application’s requirements—not just the process label.
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