- Hard vs. Soft: Software may be eating the world, but hardware monetizes better
- ROS 2 Hardware Acceleration Working Group #11
- Intel CEO warns of more tough times ahead
- Nvidia claims 'record performance' for Hopper MLPerf debut
- Fully integrated AI platform for industrial robotics
- NIST and Google team up on open-source computer chips for researchers and startups
- Amazon acquiring warehouse robotics maker Cloostermans
- SOSA-aligned single-board computers that combine CPU, GPU, and FPGA embedded computing offered by Aitech
- Scaling data pipelines: AT&T optimizes speed, cost, and efficiency with GPUs
- Using Vulkan SC for safety-critical graphics and real-time GPU processing
Source: TechSpot, Septemeber 11, 2022 
Are software businesses less capital intensive than hardware?
Enterprise SaaS companies do not need a lot of capital to get to revenue. By contrast, it can cost a few hundred million just to get a chip to first revenue. For many venture investors, seeing all their dollars spent before the product can even be tested makes hardware seem like a bad bet.
Source: Acceleration Robotics, Septemeber 13, 2022 
Join the #11th meeting of the ROS 2 Hardware Acceleration Working Group to discuss progress on the Robotic Processing Unit, a hardware ROS 2 microcontroller unit (MCU) and more!
We have exciting updates coming up including a) Robotic Processing Unit updates and release, b) Hardware acceleration in ROS 2 and Gazebo community survey updates and release schedule, c) REP-2008 updates, d) ROSCon and IROS hardware acceleration talks and e) a new WG subproject (roscore-v) that will design an open source software and hardware ROS 2 microcontroller unit (MCU) powered by RISC-V.
Source: TechRadar, Septemeber 9, 2022 
Intel CEO Pat Gelsinger has warned that the company's performance is likely to get worse before it gets better. He expects Intel to continue to lose share in the server processor market next year, with recovery starting in 2025. The chipmaker is also likely to take further steps to streamline its bloated product portfolio.
Source: The Register, Septemeber 9, 2022 
Nvidia's Hopper-based H100 Tensor Core GPUs set new records in inferencing workloads. Company claims it delivers up to 4.5x more performance than previous GPUs. MLCommons analyzes the performance of systems using a machine learning model against new data.
Source: eenewseurope, Septemeber 7, 2022 
Mov.ai has teamed up with Lanner Electronics in Taiwan to provide a fully integrated platform for industrial robotics. The two have combined Lanner’s Edge AI computing appliances, Mov.ai’s Robotics Engine Platform and Nvidia’s Isaac robotic operating system (ROS) platform.
Source: SiliconANGLE, Septemeber 14, 2022 
Google and the U.S. Department of Commerce are teaming up to make silicon wafers available to academic researchers. The goal is to reduce costs associated with developing semiconductor devices. President Joe Biden's administration has been working to secure the chip supply chain.
Source: The Robot Report, Septemeber 9, 2022 
Amazon acquires Cloostermans, a Belgium-based company that specializes in mechatronics. Amazon said this acquisition will ramp up its R&D and deployment in those areas. Financial terms of the deal were not disclosed. About 200 employees will join Amazon Global Robotics' growing presence in Europe.
SOSA-aligned single-board computers that combine CPU, GPU, and FPGA embedded computing offered by Aitech
Source: Military Aerospace, Septemeber 14, 2022 
The boards are aligned to The Open Group Sensor Open Systems Architecture (SOSA) technical standard. The U-C850x series single-board computers offer three main pillars of modern data processing acceleration: central processing unit (CPU), Integrated graphics processing unit (iGPU), and field-programmable gate array (FPGA).
Source: NVIDIA Technical Blog, Septemeber 8, 2022 
AT&T's data teams were working to manage cloud costs while balancing simplicity at scale. The use of GPUs for each stage in the data-to-AI pipeline proved to be faster, cheaper, and simpler. We also provide insights on design considerations and explain how we optimized performance and price of our GPU cluster.
Source: NVIDIA Technical Blog, Septemeber 12, 2022 
Vulkan SC (Safety Critical) is a newly released open standard to streamline the use of GPUs in markets where functional safety and hitch-free performance are essential. NVIDIA helped lead the creation of the new API and is now shipping production drivers on its NVIDIA DRIVE and NVIDIA Jetson platforms.
Source: MDPI, March 18, 2022 
Deep-learning-based representations have demonstrated remarkable performance in academia and industry. They often require substantial computation and memory resources while replacing traditional hand-engineered features. In this review, we focus on three aspects: quantized/binarized models, optimized architectures, and resource-constrained systems.
FSHMEM: Supporting partitioned global address space on FPGAs for large-scale hardware acceleration infrastructure
Source: arXiv, July 11, 2022 
Partitioned Global Address Space (PGAS) has become one of the most promising parallel computing models. FPGA is getting attention as an alternative compute platform for HPC systems. FSHMEM is a software/hardware framework that enables the PGAS programming model on FPGAs.
Source: carrv, July 17, 2022 
In this work, They present a generalized methodology for implementing hardware extensions for multi-core RISC-V-based GPUs. Part of the challenge involves extending the instruction set and register file. They also provide a generalized solution for supporting hardware monitoring counters for platforms with multiple custom accelerators onboard.
Hardware Acceleration in Robotics Newsletters
- Hardware Acceleration in Robotics #24 - ROS Robotics Companies, SiFive RISC-V CPU cores to power NASA's next spaceflight computer and more
- Hardware Acceleration in Robotics #23 - Robot sales hit record high for 3rd straight quarter, AMD smartNICs to meld ASICs, FPGAs, Arm cores and more
- Hardware Acceleration in Robotics #22 - How Europe aims to achieve strategic autonomy for semiconductors, Amazon to acquire iRobot, iRobot laying off 10% of staff and more
- Hardware Acceleration in Robotics #21 - Adaptive computing makes robots more efficient, AMD and ECARX to collaborate on immersive digital cockpit in vehicle computing platform and more
- Hardware Acceleration in Robotics #20 - Acceleration Robotics and Harvard present collaborative research, Robotics hiring levels in the tech industry rose in June 2022 and more
- 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™
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
Goldberg, J. (2022, September 11). Hard vs. soft: Software may be eating the world, but hardware monetizes better. TechSpot. https://www.techspot.com/news/95937-hard-vs-soft-software-may-eating-world-but.html ↩︎
Khalili, J. (2022, September 9). Intel CEO warns of more tough times ahead. TechRadar. https://www.techradar.com/news/intel-ceo-warns-of-more-tough-times-ahead ↩︎
Robinson, D. (2022, September 9). Nvidia claims 'record performance' for Hopper MLPerf debut. The Register: Enterprise Technology News and Analysis. https://www.theregister.com/2022/09/09/nvidia_hopper_mlperf/?utm_source=daily&utm_medium=newsletter&utm_content=article ↩︎
Flaherty, N. (2022, September 7). Fully integrated AI platform for industrial robotics. eenewseurope. https://www.eenewseurope.com/en/fully-integrated-ai-platform-for-industrial-robotics/ ↩︎
Wheatley, M. (2022, September 14). NIST and Google team up on open-source computer chips for researchers and startups. SiliconANGLE. https://siliconangle.com/2022/09/13/nist-google-team-open-source-computer-chips-researchers-startups/ ↩︎
Crowe, S. (2022, September 9). Amazon acquiring warehouse robotics maker Cloostermans. The Robot Report. https://www.therobotreport.com/amazon-acquiring-warehouse-robotics-maker-cloostermans/ ↩︎
SOSA-aligned single-board computers that combine CPU, GPGPU, and FPGA embedded computing offered by Aitech. (2022, September 14). Military Aerospace. https://www.militaryaerospace.com/computers/article/14282680/singleboard-computers-embedded-computing-sosa ↩︎
Austin, M., Kanakadandila, S., Dabholkar, A., & Vo, C. (2022, September 8). Scaling data pipelines: AT&T optimizes speed, cost, and efficiency with GPUs. NVIDIA Technical Blog. https://developer.nvidia.com/blog/scaling-data-pipelines-att-optimizes-speed-cost-and-efficiency-with-gpus/ ↩︎
Trevett, N., & Koch, D. (2022, September 12). Using Vulkan SC for safety-critical graphics and real-time GPU processing. NVIDIA Technical Blog. https://developer.nvidia.com/blog/using-vulkan-sc-for-safety-critical-graphics-and-real-time-gpu-processing/ ↩︎
Arthanto, Y. F., Ojika, D., & Kim, J. Y. (2022, July 11). FSHMEM: Supporting partitioned global address space on FPGAs for large-scale hardware acceleration infrastructure. arXiv.org. https://arxiv.org/abs/2207.04625 ↩︎
Blaise, T., & Kim, H. (2022, July 17). Implementing hardware extensions for multicore RISC-V GPUs. carrv. https://carrv.github.io/2022/papers/CARRV2022_paper_11_Blaise.pdf ↩︎