- PRESS RELEASE: Towards robot accelerators, democratizing hardware acceleration in robotics
- Acceleration Robotics and Harvard present collaborative research
- Robotics hiring levels in the tech industry rose in June 2022
- Senate advances bill to boost U.S. microchip production
- Intel, other chipmakers boost lobbying spend to get CHIPS Act passed
- Chinese CPU maker Loongson develops custom integrated GPU architecture
- The Business Case For Location Technologies In Warehousing
- Why SoCs need NoCs: network on chip and the future of computing
- Accelerating GPU applications with NVIDIA Math Libraries
Source: Acceleration Robotics, July 25, 2022 
Acceleration Robotics and Harvard University will present in Japan an Open Architecture for hardware accelerating robots that helps prototype “robot chips” and make robot computations faster.
Source: HPCwire, July 25, 2022 
Acceleration Robotics is a robotics semiconductor startup based in the Basque Country, Spain. The core idea behind their research is to facilitate the process of using this technology. Instead of building solely on CPUs, with hardware acceleration (through FPGAs or GPUs) roboticists can empower faster robots.
Source: Verdict, July 26, 2022 
The proportion of technology and communications companies hiring for robotics related positions rose in June 2022 compared with the equivalent month last year, with 24.4% of the companies included in our analysis recruiting for at least one such position.
Source: Forbes, July 26, 2022 
Bill would earmark billions in federal funds to boost U.S. semiconductor production amid a nationwide chip shortage. Key Senate vote could pave the way for legislation to pass through chamber and on to House.
Source: The Register, July 21, 2022 
Intel spent $1.75 million on federal lobbying during Q2 of 2022. Company trying to convince US government to pass CHIPS Act. The act would open $52 billion in funding to boost chip production in the US. Semiconductor industry has spent $19.6 million in federal lobbying so far this year.
Source: Tom's Hardware, July 22, 2022 
The 7A2000 is designed for Loongson's 3-series processors that use proprietary LoongArch architecture and therefore require an operating system and software that support this architecture. The company's customers are various government or local authorities-run organizations that see China-developed IP as a huge benefit.
Source: Forbes, July 21, 2022 
Logistics managers have seen unprecedented growth in order volume. Recent supply chain disruptions have left many warehouse operators unprepared. Various technological solutions are being deployed in warehouses worldwide. The warehouse automation market is particularly lucrative, with the industry seeing mass mobile robot adoption. In addition, warehouse operators have been ramping up digitization efforts.
Source: allaboutcircuits, July 26, 2022 
In a complex heterogeneous computing ecosystem, the development of network-on-chip interconnects is essential to the progress of system-on-chip technology.
Source: NVIDIA Technical Blog, July 25, 2022 
There are three main ways to accelerate GPU applications: using libraries, compilers and programming languages. Preprogrammed libraries offer high-quality implementations of functions encountered in compute-intensive applications. The NVIDIA Math Libraries are optimized to make best use of GPU hardware for the greatest performance gain.
Evaluation of directive-based heterogeneous redundant design approaches for functional safety systems on FPGAs
Source: J-STAGE Home, May 26, 2022 
Field programmable gate arrays (FPGAs) are used in a wide range of application fields. The resource-level approach focuses on diversity in FPGA technology mapping. Heterogeneous redundant circuit design approaches for FPGAs have a high error detection rate.
Source: ACM Conferences, June 9, 2022 
Kernel libraries are critical to exploiting accelerators and specialized instructions in many applications. They are commonly coded and optimized by hand, at great expense, in low-level C and assembly. We propose a new programming language, Exo, based on the principle of exocompilation.
Hardware Acceleration in Robotics Newsletters
- Hardware Acceleration in Robotics #19 - ABB: 62% of US businesses looking to invest in robotics, Sony making sensors for autonomous vehicles and more
- Hardware Acceleration in Robotics #18 - EFPGAs bring a 10X advantage in power and cost, Introducing QODA: the platform for hybrid quantum-classical computing and more
- Hardware Acceleration in Robotics #17 - ROS2 HAWG #10, Siemens and NVIDIA to enable industrial metaverse, Simplifying hardware acceleration for robots with ROS2 and more
- Hardware Acceleration in Robotics #16 - RTI improves ROS2 performance in software-defined cars, Intel is running rings around AMD and Arm at the edge and more
- Hardware Acceleration in Robotics #15 - The ROS 2 hardware acceleration stack and ROBOTCORE™, RISC-V shines at embedded world with new specs and processors and more
- Hardware Acceleration in Robotics #14 - Acceleration Robotics launch ROBOTCORE™ to speed-up ROS 2 robots, ROS 2 driver now available for ABB’s robot arms and more
- Hardware Acceleration in Robotics #13 - Three architectures that power the robotic, Festo collaborates with Isaac Sim on industrial automation, Apple announces the M2 and more
- Hardware Acceleration in Robotics #12 - ROS 2 HAWG #9, ROS developers choice awards, NVIDIA increases the power of Arm CPUs and Omniverse software and more
- Hardware Acceleration in Robotics #11 - ROS 2 Humble Hawksbill Release, NVIDIA robotics perception performance improvement for ROS 2 and more
ROS 2 Hardware Acceleration Working Group meetings
- Hardware Acceleration WG, meeting #10
- Hardware Acceleration WG, meeting #9
- Hardware Acceleration WG, meeting #8
- Hardware Acceleration WG, meeting #7
- Hardware Acceleration WG, meeting #6
- Hardware Acceleration WG, meeting #5
- Hardware Acceleration WG, meeting #4
- Hardware Acceleration WG, meeting #3
- Hardware Acceleration WG, meeting #2
- Hardware Acceleration WG, meeting #1
PRESS release: Towards robot accelerators, democratizing hardware acceleration in robotics. (2022, July 25). Hardware Acceleration in Robotics. https://news.accelerationrobotics.com/towards-robot-accelerators-democratizing-hardware-acceleration-in-robotics/ ↩︎
Jolly, A. (2022, July 25). Acceleration robotics and Harvard present collaborative research. HPCwire. https://www.hpcwire.com/off-the-wire/acceleration-robotics-and-harvard-present-collaborative-research/ ↩︎
Data Journalism Team. (2022, July 26). Robotics hiring levels in the tech industry rose in June 2022. Verdict. https://www.verdict.co.uk/robotics-hiring-levels-in-the-tech-industry-rose-in-june-2022/ ↩︎
Portefield, C. (2022, July 26). Senate Advances Bill To Boost U.S. Microchip Production. Forbes. https://www.forbes.com/sites/carlieporterfield/2022/07/26/senate-advances-bill-to-boost-us-microchip-production-heres-whats-in-it/?sh=6368da53dca9 ↩︎
Robinson, D. (2022, July 21). Chipmakers boost lobbying spend to get CHIPS act passed. The Register: Enterprise Technology News and Analysis. https://www.theregister.com/2022/07/21/intel_other_chipmakers_boost_lobbying/?utm_source=daily&utm_medium=newsletter&utm_content=article ↩︎
Shilov, A. (2022, July 22). Chinese CPU maker Loongson develops custom integrated GPU architecture. Tom's Hardware. https://www.tomshardware.com/news/loongson-develops-integrated-gpu-with-2004-functionality ↩︎
Bonte, D. (2022, July 21). The Business Case For Location Technologies In Warehousing. Forbes. https://www.forbes.com/sites/forbestechcouncil/2022/07/21/on-location-the-business-case-for-location-technologies-in-warehousing/?sh=5b8f80b1363e ↩︎
Hertz, J. (2022, July 26). Why SoCs need NoCs: network on chip and the future of computing. allaboutcircuits. https://www.allaboutcircuits.com/news/why-socs-need-nocs-network-on-chip-and-future-computing/ ↩︎
Hunjhunwala, A. J., & Talavera, G. (2022, July 25). Accelerating GPU applications with NVIDIA math libraries. NVIDIA Technical Blog. https://developer.nvidia.com/blog/accelerating-gpu-applications-with-nvidia-math-libraries/ ↩︎
Saikai, T., Miyata, K., Manabe, T., & Shibata, Y. (2022, May 26). Evaluation of directive-based heterogeneous redundant design approaches for functional safety systems on FPGAs. J-STAGE Home. https://www.jstage.jst.go.jp/article/ijnc/12/2/12_387/_article ↩︎
Ikarashi, Y., Bernstein, G. L., Reinking, A., Genc, H., & Ragan-Kelley, J. (2022, June 9). Exocompilation for productive programming of hardware accelerators. ACM Conferences. https://dl.acm.org/doi/10.1145/3519939.3523446 ↩︎