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Quartus crashes on long carry chain in Agilex 5 FPGAs
We try to manually place a carry chain in the Agilex 5 FPGAs which consists of more than 40 LABs. When we place this carry chain using set_location_assignment, Quartus crashes during the placement phase whenever the carry chain is longer than 40 LABs. Is it expected that the carry chain cannot be made longer than 40 LABs in the Agilex 5 FPGAs? Crash was observed on Quartus 25.3 and Quartus 26.1 for the devices A5ED065BB32AE4S and A5ED013BB32AE4SCS. Internal Error: Sub-system: FLABS, File: /quartus/fitter/flabs/flabs_util.cpp, Line: 96 p_to_fill->next == FLABS_OPEN158Views0likes5CommentsDisplayPort Sink (Quartus 18.1) – horizontal pixel offset.
We are experiencing an issue with the DisplayPort Sink IP core (Quartus Prime 18.1), where the captured video stream becomes horizontally shifted after some runtime. The system works correctly after reset, but after a variable period (typically several minutes), the image suddenly shifts horizontally by a constant number of pixels (hundreds of pixels). The image remains stable but shifted. After longer time (tens of minutes), the image may spontaneously recover, and the cycle repeats. This behavior only appears when the input signal is routed through a DisplayPort optical extender (G&D). Without the extender, the system operates correctly and indefinitely stable. This system design is constrained to Quartus 18.1 (cannot migrate easily) - We are primarily looking for a workaround or confirmation of known limitation - Not asking for redesign or migration unless necessary93Views0likes5CommentsWhy does the Agilex® 7 FPGA M-Series Development Kit fail configuration with bitstream error 0x0015?
Description When configuring an SOF file on the Agilex® 7 FPGA M-Series Development Kit, the configuration process fails and reports bitstream error subcode 0x0015. Resolution Use Quartus® Programmer version 25.3 or later to program the device. Configuration completes successfully when using Quartus® 25.3, and no special processing or modifications to the generated SOF file are required.Why does the Quartus® Prime Programmer GUI fail JIC programming with "Different TAPS selected" or "Operation failed" in AS mode for device AGIB027R31B1E1VAA?
Description In Quartus® Prime Software versions 24.2 and 25.1, the Quartus Programmer GUI may fail during JIC programming when the board is in Active Serial (AS) boot mode. This issue is specific to the Agilex® 7 SoC device with OPN AGIB027R31B1E1VAA paired with QSPI flash MT25QU01GBBB8E12-0SIT. The GUI reports "Different TAPS selected." or "Operation failed" when the flash already contains existing data. The same JIC programs successfully on the same board using the quartus_pgm command-line tool. Note: This issue does not affect all Agilex®7 FPGA OPNs - it has been reproduced only on AGIB027R31B1E1VAA. Resolution This issue is specific to OPN AGIB027R31B1E1VAA on Quartus Prime versions 24.2 and 25.1. To resolve or work around this issue: Upgrade to Quartus® Prime Software version 25.1.1 or later, where this issue is resolved for AGIB027R31B1E1VAA. Alternatively, use the quartus_pgm command-line utility to program the JIC file instead of the GUI Programmer on affected versions (24.2 and 25.1).10CL080YF780I7G BSDL FILE
Hi, We are currently using your 10CL080YF780I7G in our design. in the BSDL file, pin F4 is defined as a linkage bit, which prevents us from toggling it through boundary scan. However, in our design, we are using pin F4 as an output. The design compiles successfully in Quartus without any errors or warnings indicating that this pin should not be used in such a manner. Could you please clarify why pin F4 is defined as a link bit in the BSDL file? Is there a recommended workaround or update we should apply to ensure proper JTAG functionality? .pin file: BSDL file: Please note that we have encountered the same problem with the following devices:: 10CL040YF484I7G and 10CL016YF484I7G pin E2 is defined as out bit, while it is IO. We appreciate your guidance and look forward to your advice.64Views0likes3CommentsCyclone V GT Dev Kit - new units fail to boot from FPP
We have been using this development kit internally for many years, and on our last order 2 out of 3 units fail to boot using the Fast Passive Parallel (FPP) configuration scheme through the MAX V. We normally use our own custom MAX V bitstream, but the issue is present even with the factory MAX V image and the factory FPGA image/flash content. The MAX V appears to try loading the image (LED D6 flashing or statically lit, depending on the MAX V firmware version) for about 6 seconds before giving up and signaling an error (LED D5). On reception, one of the two faulty boards seemed to work, it was just taking a bit longer to boot than usual (presumably it took a few retries). It then got progressively worse: the boot started failing intermittently, and now it is almost impossible to get it to boot through FPP. The boards can still boot through Active Serial (AS), and the FPGA can properly read and write the main flash, so the issue seems to affect only the MAX V flash access / FPGA configuration. Following this thread, which reports the same issue: Cyclone VGT Dev Kit boards - some new boards failing to boot from NOR Flash | Altera Community - 353984 we tried reducing the MAX V utilization to improve timing. With this change one of the boards managed to boot a few times, but very rarely and not reliably. The affected boards are all rev. B and have serials: - 5CPCIE00100214 - 5CPCIE00100263 While debugging, I also noticed that the timing constraints do not follow the Parallel Flash Loader IP User Guide. For example, fpga_dclk should be a generated clock and used as the reference for the other constraints, and the set_output_delay on fpga_data does not respect the tDSU from the Cyclone V datasheet. That said, correcting these constraints did not improve the boot behavior. We are now stuck with two boards that can only boot from AS, which is a concern for future orders. Between this and the flash revision change to rev. B (where the PCB is actually labelled rev. A and the example designs are mixed and not clearly labelled), these boards are becoming difficult to work with. Since there is at least one other thread reporting the same behavior it looks less like an isolated fault and more like a recurring issue on recent production. Could someone from Altera confirm whether this is being tracked, and what the recommended action is for affected boards?Solved299Views1like13CommentsHow to Generate Altera HAL for HPS?
Hi, I am using Quartus 26.1 with the Agilex 5 Modular Development Kit (Device number: A5ED065BB32AE6SR0) and I have a few questions about BSP Generation for Hard Processor System (HPS). For reference I am following the Quartus Prime Pro Edition Version 26.1 User Guide. 1. How do I generate Altera HAL for HPS? When I use the BSP Editor in platform designer, I can only generate the system.h file that only has macros for EMIF, even though other peripherals are also connected to the HPS. How do I generate macros for the H2F bridges and HAL API Files for the HPS? 2. How do I input a SOPCINFO file into the BSP Editor? The Quartus Prime Pro Edition User Guide shows that I should be able to input SOPCINFO file as the system file (see above image) but Quartus only gives me the options of QSYS and IP file (see below image). Thank you for the help!SolvedAXI violation on H2F interface of S10
I'm using the H2F AXI interface to access external RAM via EMIF on an S10 SX SoC DK (1SX280HU2F50E1VGAS). There are situations where I see the valid signal of the W channel go from 1 to 0 while the ready signal is 0. This is a violation of the valid/ready handshake protocol of AXI. After a while the system freezes because no more write transaction are accepted on the AW channel. What can cause this? Are there any known bugs in the bus master of the HPS? Here is a waveform I sampled with SignalTap that shows the behavior: There is a Linux 6.1 running on the ARM core. The RAM on the FPGA side is used for video memory. It is listed in the device tree and our drivers use it to make video memory allocations. The memory is then mapped into user space and our test application transfers data into the memory (e.g. texture data).116Views1like4Comments
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As AI, cloud, and high-performance computing systems continue to scale, data center operators need more bandwidth within increasingly constrained power and thermal envelopes. Linear Pluggable Optics (LPO) offers an important path forward by simplifying optical modules, reducing power consumption, and lowering latency. LPO places signal-conditioning responsibilities in the host device, allowing the optical module to operate without the DSP used in traditional retimed optics. This architecture can reduce optical module power by 30% to 40%, helping data center designers increase connectivity density while simplifying cooling and thermal management. Altera Brings LPO to the FPGA Market Altera is the first FPGA provider to publicly demonstrate Linear Pluggable Optics interoperability using production FPGA devices. Continued validation with LPO modules from Amphenol and FS further demonstrates the breadth of the emerging ecosystem supported by Altera. Agilex® 7 FPGAs and SoCs bring the power and latency advantages of LPO to programmable platforms used in SmartNICs, data processing units, AI accelerators, and custom infrastructure. The initial public demonstration established that Agilex 7 devices could successfully interoperate with 400G LPO modules. The latest validation advances that milestone by confirming that the implementation meets the performance requirements expected for deployment in demanding data center environments. Validated for Real Deployment Conditions Comprehensive testing confirms that Agilex 7 F-Tile transceivers meet the electrical and link-performance requirements defined by the 100G-DR-LPO specification. The validation demonstrated: Compliance with the required transmit, receive, and link-performance criteria Successful interoperability with LPO modules from Amphenol and FS Successful LPO connectivity across distances from 1 meter to 500 meters Consistent performance across temperature and voltage conditions Measurable performance margin beyond required thresholds Testing covered demanding signal conditions, voltage variation, and temperatures ranging from minus 40 degrees Celsius to 105 degrees Celsius for electrical characterization. Functional link testing included a 1-meter LPO connection, a 100-meter active optical cable, and 500-meter LPO modules from Amphenol and FS. The results demonstrate robust, repeatable operation across multiple module suppliers and link distances, with measurable margin relative to the required performance limits. For customers, this validation provides confidence that Agilex® 7 support for LPO is ready for real-world deployment. Following the industry’s first public FPGA interoperability demonstration, the solution has now been evaluated against LPO performance requirements using modules from multiple suppliers and over link distances up to 500 meters. Together, these results demonstrate a practical foundation for deploying LPO connectivity in next-generation data center systems. More Efficient Connectivity for AI and Cloud Infrastructure The value of LPO grows as data centers deploy more high-speed optical connections. Eliminating the DSP from each optical module can reduce power across thousands of links, simplify optical module design, ease thermal pressure at the front panel, and support lower-latency data movement. Agilex 7 FPGAs add programmability to this more efficient optical architecture. Customers can combine LPO connectivity with packet processing, acceleration, security, telemetry, and evolving protocol support on a single adaptable platform. This flexibility is especially valuable for AI clusters and cloud infrastructure, where workloads, network architectures, and connectivity standards continue to evolve. Validation with multiple module vendors also gives system designers greater flexibility as the LPO supplier ecosystem continues to develop. Ready for the Next Generation of Data Centers The combination of public interoperability and comprehensive validation marks a major step for LPO in the FPGA market. Altera has demonstrated that LPO works with production Agilex 7 devices and validated that the solution meets key LPO requirements with measurable operating margin. This gives customers a proven foundation for evaluating and deploying lower-power, lower-latency optical connectivity in real data center environments. With Agilex® 7 FPGAs, LPO is ready for real-world data center deployment.
25 days ago0likes
Security requirements are entering a new phase. Systems being designed today may remain deployed for many years, while regulatory expectations, cryptographic standards, and threat models continue to evolve. For designs in industrial, communications, infrastructure, aerospace, defense, and embedded applications, long-term security is becoming a core platform requirement. FPGA-based designs allow designs to meet today’s security needs and evolve with tomorrow’s requirements. Altera is now offering Agilex® 3 and Agilex® 5 devices with PQC-enabled secure boot and configuration support, helping customers prepare for the next generation of security requirements. With the Quartus® Prime Pro Edition 26.1.1 release, customers can begin using a PQC flow that works with Agilex 3 and Agilex 5 based hardware. This milestone extends the security architecture already built into the Agilex platform. Agilex devices use the Secure Device Manager as a hardware root of trust for secure configuration and device management. By combining PQC-capable devices with Quartus software enablement, Altera is helping customers strengthen the FPGA chain of trust as post-quantum requirements move from planning to implementation. The value is immediate and practical. Customers can start designing with supported devices today, while using Quartus 26.1.1 to take advantage of the current software flow. This gives teams a path to address emerging compliance and security expectations without needing a future platform redesign. The same hardware foundation also allows for additional security enhancements over time. Customers designing with PQC-capable Agilex 3 and Agilex 5 devices can benefit from planned software and firmware improvements enabled by the underlying hardware, with no further FPGA hardware upgrade required for those enhancements. Agilex 3 devices bring this capability to power- and cost-optimized FPGA and SoC designs used in embedded, edge, industrial, control, and platform-management applications. Agilex 5 devices extend the same security direction into mid-range FPGA and SoC designs that require higher performance, greater integration, and broader system capability. Post-quantum readiness will continue to advance, and Altera is building that evolution into the Agilex platform roadmap. With PQC-capable Agilex 3 and Agilex 5 devices and Quartus 26.1.1 software enablement, customers have a practical starting point today and a scalable foundation for future security enhancements.
30 days ago0likes
Altera has started to sample Agilex® 5 D-Series FPGA devices to customers, expanding the Agilex 5 family for customers building higher-performance midrange systems. This adds a second Agilex 5 path alongside Agilex 5 E-Series FPGAs, which are already in full production. Agilex 5 E-Series remains the production-ready choice for power- optimized midrange designs. It is a strong fit when customers need production availability, efficient power, and right-sized capability for applications such as industrial control, edge compute, physical AI, and embedded systems. Agilex 5 D-Series extends the family for designs that need more system performance headroom. It is intended for applications that place heavier demands on signal processing, embedded memory, memory bandwidth, and fabric performance, including broadcast, wireless, video, AI-enabled embedded systems, and higher-performance applications that benefit from memory interfaces such as DDR5 and LPDDR5 capability. One Agilex 5 family, two design paths Agilex 5 E-Series Agilex 5 D-Series In full production Engineering samples available Power-optimized midrange designs Higher-performance midrange designs Right-sized logic and efficient power More DSP, embedded memory, EMIF bandwidth, and higher DDR and LPDDR bandwidth Industrial control, edge compute, physical AI and embedded systems Data Center, Communications, Broadcast, video, and AI-enabled embedded systems Together, Agilex 5 E-Series and D-Series enable customers a clearer way to choose the right midrange FPGA path: production deployment today with E-Series, or higher-performance design evaluation with D-Series. Customers evaluating Agilex 5 D-Series can begin real-silicon design work with Quartus® Prime Pro Edition 26.1.1 support. To order Agilex 5 D-Series engineering samples, please contact your Altera representative. Visit the Agilex 5 D-Series page Visit the Quartus Pro 26.1 Page
30 days ago0likes
Quartus® Prime Pro Edition 2026.1.1 expands memory options across the Agilex® FPGA portfolio. Memory is increasingly setting the performance, power, and lifecycle limits of modern systems. AI acceleration, packet processing, storage, video, industrial automation, and edge computing all depend on moving large amounts of data efficiently. At the same time, memory availability and vendor transitions can force design teams to revisit component choices long after a platform architecture has been selected. With Quartus® Prime Pro Edition 2026.1.1, Altera expands memory options across the Agilex portfolio. The release brings higher-speed DDR5 and LPDDR5 options to Agilex 7 M-Series FPGAs and SoCs, broadens component choice through documented LPDDR5X device support, and extends LPDDR5 support to Agilex 3 FPGAs and SoCs. Together, these enhancements give designers greater flexibility to balance performance, power, footprint, memory cost, and supply continuity. What is new with Quartus Prime Pro Edition 2026.1.1 Enhancement Customer value DDR5-6400 and LPDDR5-6400 on Agilex 7 M-Series devices Higher Memory Bandwidth Raises the maximum supported memory data rate from 5600 to 6400 MT/s, an increase of more than 14%. DDR5 delivers up to 204.8 GB/s of aggregate bandwidth, while LPDDR5 provides a lower-power, compact-footprint option for bandwidth-intensive designs. LPDDR5X device use in LPDDR5-compatible mode New Sourcing Option Adds sourcing flexibility when LPDDR5 availability, or component strategy favors an LPDDR5X device. LPDDR5 now available for Agilex 3 devices New Memory Support Added Brings a modern low-power memory option to power- and cost-optimized Agilex 3 device configurations. Two 6400 MT/s paths for high-performance systems Agilex 7 M-Series FPGAs and SoCs already combine high logic density, high-speed connectivity, and advanced external memory functionality in a device family available today in full-volume production. Quartus Prime Pro Edition 2026.1.1 strengthens that family’s offering with DDR5-6400 and LPDDR5-6400 in approved configurations. For DDR5, the move from 5600 MT/s to 6400 MT/s increases the maximum data rate by more than 14%. That additional throughput can help AI, networking, storage, and infrastructure designs sustain higher data movement without expanding the FPGA footprint. It can also give architects more flexibility in how they meet a target bandwidth, including the potential to optimize channel count, DIMM selection, board space, and subsystem complexity when the application and supported configuration allow it. LPDDR5-6400 brings a second option to the same top-line interface rate. LPDDR5 is increasingly relevant beyond mobile products because it combines strong bandwidth with lower I/O power and a compact board footprint. Those characteristics are valuable in embedded systems, smart network interface cards, industrial platforms, edge compute, and other designs, where thermal limits and board area matter alongside performance. The result is a high-end FPGA platform that lets designers choose between DDR5 for capacity and server-class memory options, or LPDDR5 for power and footprint efficiency, while reaching up to 6400 MT/s and 204.8 GB/s of aggregate memory bandwidth in selected Agilex 7 M-Series device configurations. LPDDR5X device compatibility adds practical supply-chain flexibility The LPDDR5X enhancement addresses a different customer need. LPDDR5X devices are backward compatible with the LPDDR5 interface, so components can be used with an Agilex LPDDR5 memory interface while operating at the same speeds, voltages, and specifications as the LPDDR5 configuration. Customers can now design with LPDDR5X components in LPDDR5-compatible mode with greater confidence, backed by documented Altera support process. A complete memory offering across the Agilex portfolio Because the Agilex portfolio spans high-performance, mid-range, and power- and cost-optimized devices, customers can carry a consistent FPGA architecture and Quartus development flow across products with very different memory requirements. That continuity helps reduce redesign effort and gives engineering teams more freedom to scale compute, connectivity, and memory together. Teams can preserve DDR4 or LPDDR4 where product requirements, temperature range, or supply conditions still favor those technologies. New designs can move to DDR5 or LPDDR5 for higher bandwidth and better system efficiency. LPDDR5X device compatibility provides an additional sourcing path without requiring customers to redesign a separate memory interface. Explore Agilex FPGA external memory solutions and review the Quartus Prime Pro Edition 2026.1.1 documentation for supported devices, speed grades, memory components, and configurations.
30 days ago0likes
A customer recently shared with me an interesting way they viewed the updated Altera brand: It’s like a long-time friend who had moved away for a few years but is now back and it’s time to get caught up. One of the things customers might want to 'catch up' on is Altera's efforts with regards to AI. It started when early FPGA products included the first basic digital signal processing (DSP) circuits within the FPGA fabric to improve performance for math-based logic, such as Fast Fourier transforms (FFTs) and finite impulse response (FIR) filters. These early enhancements improved general purpose FPGA-based computing but since 2015, our focus has shifted to improving AI capabilities in both silicon and software tools. DSP capabilities have gotten more sophisticated (fixed point, floating point, small and large bit precisions, etc.) and the quantity of available DSPs within a single device, have increased dramatically. Modern FPGAs are now capable of handling complex equations, especially those needed with the introduction of AI. This historical reminisce catches us up all the way until today’s news, where the latest Altera FPGA family is now broadly available to any customer who wants it; Agilex™ 5 SoC FPGAs, the first FPGAs infused with AI tensor blocks throughout the FPGA fabric. A short list of features that would be attractive to embedded or intelligent edge applications include: For those haven’t heard about Agilex™ 5 devices before today, here is how you can get started: Learn about the family. Review technical details. Download FPGA software. Free for anyone wanting access to Agilex™ 5 E-Series devices: Download Quartus® Prime Pro Test drive hardware (generally available now, lead-times may apply, via franchised distributors): Buy Altera development kits or 3rd party boards and SoMs The initial wave of board/SoM options include 9+ variants, with more coming. Evaluate AI or embedded options: Test out the FPGA AI Suite. Contact Altera sales for limited time introductory pricing. Utilize 3rd party tools (Arm DS, MathWorks) to design for the new, best-in-class Arm dual-A76 + dual-A55 based SoC subsystem or RISC-V based Nios® V soft IP processors. Altera is announcing the Agilex™ 5 family broad availability coincident with Embedded World 2024 because it is one of the key markets this mid-range FPGA family was architected for. Embedded customers clearly told us they perceive a lack of adequate compute in embedded processors, see a big need to fill security gaps, and want to add AI into their next generation systems. Agilex™ 5 devices can address all these concerns. Coming back to our initial topic, AI: GPUs are certainly a popular choice for AI training, but power consumption of GPUs for AI inferencing may be too high for intelligent edge or embedded applications. Instead of adding a separate GPU/AI semiconductor device to an embedded system (resulting in higher cost, more power, more thermal, etc.), why not add the AI function into an FPGA already planned to be used in embedded/edge equipment? For decades, FPGAs have been used in embedded/edge and communication systems for real-time control, IO connectivity, or image/data processing. The estimates on Agilex™ 5 device AI performance look good compared to equivalent class competitors. Because the FPGAs new DSP/tensor is implemented in a fine-grained architecture, it provides the FPGA designer the ability to tune for higher performance or lower power consumption, using the minimum amount of FPGA resources for the desired algorithm. Agilex™ 5 devices – AI key figures of merit: Tensor neural acceleration performance: Up to 26 / 56 TOPS ² Better performance per power efficiency versus embedded market inference GPUs. 1.7x higher frames per second per watt ³ Better raw performance versus other AI targeted FPGAs. 69% higher frames per second ⁴ There are many great reasons to look at this new family of FPGAs. If you are an architect, AI developer, or FPGA designer for embedded systems, don’t wait. As Mark Twain famously said, “The secret of getting ahead is getting started.” Don’t believe the marketing hype, try out your ideas in actual hardware, to see what is ‘possible’. Agilex™ 5 SoC FPGAs are just the latest phase in our DSP/AI journey. Altera, accelerating innovators. Come visit us at Embedded World 2024: Altera booth Hall 5, 5-135 and 5-136. Footnotes: Performance per watt: https://edc.intel.com/content/www/us/en/products/performance/benchmarks/agilex-fpga/ Theoretical peak INT8 calculations for the largest density Agilex 5 E-Series or D-Series devices. 1.7x higher frames per second per watt vs. Nvidia Jetson-class GPUs (AGX Orin) 69% higher frames per second vs. AMD/Xilinx Versal AI devices (VE2302)
1 month ago1like