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Title Description Version Released Date Document File
2018 Ushers in a Renewed Push to the Edge (WP012)

The past decade has seen massive growth in centralized computing, with data processing flowing to the cloud to take advantage of low-cost dedicated data centers. It was a trend that seemed at odds with the general trend in computing — a trend that started with the mainframe but moved progressively towards ambient intelligence and the internet of things (IoT). As we move into 2018, this centralization is reaching its limit. The volume of data that will be needed to drive the next wave of applications is beginning to force a change in direction.

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Achieving ASIC Timing Closure with Speedcore eFPGAs (WP013)

Achronix's Speedcore eFPGA IP allows companies to embed a programmable logic fabric in their ASICs, delivering to end users the capability to modify or upgrade the functionality of an ASIC after being deployed in the field. This flexibility dramatically expands the solution space that can be served by the ASIC as it can be updated to support changing standards and algorithms. Timing closure is particularly challenging due to the fact that the eFPGA fabric may host any number of designs over the course of device operation. Each of those designs must work independently with the rest of the ASIC, and timing closure can only be said to have been met if all of the possible designs targeting the eFPGA fabric can meet timing.

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An FPGA-Based Solution for a Graph Neural Network Accelerator (WP024)

Thanks to the rise of big data and the rapid increase in computing power, machine learning technology has experienced revolutionary development in recent years. Machine learning tasks such as image classification, speech recognition, and natural language processing, operate on Euclidean data with a certain size, dimension, and an orderly arrangement. However, in many realistic scenarios, data is represented by complex non-Euclidean data such as graphs. In this context, many new graph-based machine learning algorithm, or graph neural networks (GNNs), are constantly emerging in academia and industry.

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Chiplets - Taking SoC Design Where no Monolithic IC has Gone Before (WP016)

The well-documented slowing of Moore's Law is the key driver behind the movement towards the use of chiplets in the design and manufacture of new, high-performance semiconductor devices. While the monolithic IC has been the ultimate design target for many decades, there have always been reasons to build certain devices with multiple die using multi-chip modules (MCMs), whether it was for additional memory capacity or to fabricate chips based on IP blocks that require incompatible IC processes.

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Data Orchestration Supports the Next Advance in AI (WP025)

Artificial intelligence (AI) and machine learning (ML) technologies now power a rapidly expanding range of product and applications from deeply embedded systems to hyperscale data-center deployments. Although there is a huge degree of diversity in the hardware designs supporting these applications, all require hardware acceleration. Data orchestration encompasses the pre- and post-processing operations that ensure the data seen by a machine learning engine arrives at an optimal speed and in the most suitable form for efficient processing.

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Title Description Version Released Date Document File
Speedcore eFPGA Datasheet (DS012)

Achronix Speedcore embedded FPGA (eFPGA) IP includes look-up-table, memory, and DSP blocks. Each of these blocks are designed to be modular to allow customers to define any mix of resources required for their end system.

2.0 Download
Speedster7t 7t1500 Pin Table

The pin tables (in Excel format) for the Speedster7t AC7t1500 in the FBGA2597 package.

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Speedster7t FPGA Datasheet (DS015)

Achronix’s new 7nm Speedster7t FPGA family is specifically designed to deliver extremely high performance for demanding applications including data-center workloads and networking infrastructure. The processing tasks associated with these high-performance applications, specifically those associated with artificial intelligence and machine learning (AI/ML) and high-speed networking, represent some of the most demanding processing workloads in the data center.

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Title Description Version Released Date Document File
ACE ECO Flow Guide (AN015)

This tutorial serves as an introduce to the ACE engineering change order (ECO) suite — a set of Tcl commands that can add or remove instances, nets, pin connections, and more from a placed-and-routed design.

1.0 ACE_ECO_Flow_Guide_AN015.pdf
Clock Design Planning for Speedcore eFPGAs (AN011)

Speedcore eFPGAs have a robust clocking architecture. While some designs only use a single main clock, others can have complicated clocking schemes. It is important for designers to understand the different types of clocks available in the Speedcore architecture, and how to get the best design out of the clocking resources available.

1.0 Clock_Design_Planning_for_Speedcore_eFPGAs_AN011.pdf
Coding Guidelines for Speedcore eFPGAs (AN003)

In order to obtain the best quality of results (QoR) when targeting any design to an FPGA, it is sometimes necessary to structure the RTL and constraints to take best advantage of the underlying FPGA architecture and the built-in features of the tool chain.

2.0 Coding_Guidelines_for_Speedcore_eFPGAs_AN003.pdf
Device Binning Methodologies (AN005)

The manufacturing process for any silicon device inevitably has variations, whether those are in the thickness of a substrate or track, the purity of a conductor, position of the die on the wafer, or one of a myriad of many other physical effects.

1.0 Device_Binning_Methodologies_AN005.pdf
Formal Verification in the ACE Flow (AN013)

This application note covers the formal verification support available in the ACE environment. ACE currently is capable of supporting formal equivalency checking in its design flow, enabling the user to verify the synthesized netlist against the output at the different stages in the ACE flow.

1.0 Formal_Verification_in_the_ACE_Flow_AN013.pdf
Title Description Version Released Date Document File
Achronix Company Backgrounder (PB029)

Achronix Semiconductor Corporation is a privately held, fabless semiconductor corporation based in Santa Clara, California and offers high-performance FPGA solutions. Achronix’s history is one of pushing the boundaries in the high-performance FPGA market.

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Achronix Tool Suite (PB002)

The Achronix Tool Suite works in conjunction with industry-standard synthesis tools, allowing FPGA designers (for both standalone and embedded) to easily map their designs into Achronix FPGA technology. Achronix provides ACE together with an Achronix-optimized version of Synplify Pro from Synopsys, the industry standard for producing high-performance and cost-effective FPGA designs.

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Maximize Hardware Assurance Using Embedded FPGAs (PB035)

Implementing a secure IP solution when developing a custom ASIC involves overcoming many risks along the development, manufacturing and supply chain flow. Hardware assurance continues to become more critical for military and defense applications as worldwide threats increase. By using an eFPGA IP solution to store mission critical IP, supply chain security is greatly simplified compared to the traditional ASIC design flow.

1.0 Download
Speedcore eFPGA Product Brief (PB028)

Speedcore IP is embedded FPGA (eFPGA) that can be integrated into an ASIC or SoC. Customers specify their logic, RAM and DSP resource needs, then Achronix configures the Speedcore IP to meet their individual requirements.

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Speedcore eFPGA Test Chip Evaluation Board (PB030)

The Speedcore eFPGA evaluation board from Achronix contains the 16-nm Speedcore eFPGA test chip. The evaluation board’s Speedcore test chip has been customized with the right blend of resources such as LUTs, BRAMs, DSP64s, DFFs and a number of I/O so as to provide an optimum programmable platform for demonstrating, evaluating and testing Achronix’s Speedcore technology.

1.0 Download
Title Description Version Released Date Document File
ACE Installation and Licensing Guide (UG002)

This guide covers software installation and licensing of ACE software under both Windows and Linux operating software.

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ACE User Guide (UG070)

This guide is a reference manual for the ACE, used for placing, routing, configuring, and debugging Speedcore eFPGAs and Speedster FPGAs. ACE works in conjunction with third-party synthesis and simulation tools to provide a complete design environment for Achronix FPGAs

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Bitstream Programming and Debug Interface User Guide (UG004)

The embedded programming and configuration logic in the Achronix core is designed to support a variety of programming and debugging options.This guide details those options and how to implement them at the board level, including using the Achronix STAPL player.

1.6 Download
Simulation User Guide (UG072)

The Achronix tool suite includes synthesis and place-and-route software that maps RTL designs (VHDL or Verilog) into Achronix devices. In addition to synthesis and place-and-route functions, the Achronix software tools flow also supports simulation at several flow steps (RTL, Synthesized Netlist, and Post Place-And-Routed Netlist). This guide covers the simulation flow for Achronix devices.

1.5 Download
Snapshot User Guide (UG016)

Snapshot is the real-time design debugging tool for Achronix FPGAs and cores. The Snapshot debugger, which is embedded in the ACE software, delivers a practical platform to observe the signals of a user's design in real-time. To use the Snapshot debugger, the Snapshot macro needs to be instantiated inside the user's RTL. After instantiating the macro and programming the device, the user will be able to debug the design through the Snapshot Debugger GUI within ACE, or via the run_snapshotTCL command API.

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