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#hardware-acceleration — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #hardware-acceleration, aggregated by home.social.

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  1. For over a year, in close partnership with #MediaTek, we’ve been enhancing Chromium on Genio and Kompanio platforms to fully unlock the hardware users depend on, delivering out-of-the-box hardware-accelerated video decoding and encoding for high-performance, video-centric #Chromium applications.

    Read more: collabora.com/news-and-blog/ne

    #VideoAcceleration #HardwareAcceleration #EmbeddedLinux

  2. For over a year, in close partnership with #MediaTek, we’ve been enhancing Chromium on Genio and Kompanio platforms to fully unlock the hardware users depend on, delivering out-of-the-box hardware-accelerated video decoding and encoding for high-performance, video-centric #Chromium applications.

    Read more: collabora.com/news-and-blog/ne

    #VideoAcceleration #HardwareAcceleration #EmbeddedLinux

  3. Update: It's probably not a #VAAPI / #VDPAU issue. Went through the #HardwareAcceleration #Arch wiki entry and confirmed both to be working.

  4. on the #shownotes #grind for @gamesatwork_biz in preparation for Monday’s posting of e475 while tuning into the #Olympics. Stories about #robots, #telepresence, #HardwareAcceleration, #AI, #Friend and more! Check out earlier episodes, chock full of #AI #metaverse #AR #VR #gamification and so much more on gamesatwork.biz

  5. New Embedded Vision Summit presentation from the President of the Khronos Group, Neil Trevett: “Open Standards Unleash Hardware Acceleration for Embedded Vision”

    edge-ai-vision.com/2023/09/ope

  6. Chromium Fan? Canonical and Intel Team Up for Hardware Accelerated Build

    If you run Ubuntu on a laptop or PC with 7th-generation Intel chips or later and you’re a fan of the Chromium browser, Canonical has something for you. It has partnered with Intel to create a Chromium snap that boasts hardware accelerated video decoding and encoding. Thus, the bespoke build offers better performance and extends battery life for Kaby Lake (7th Gen) and newer platforms when using VP8, VP9, and H.264 codecs. And those codecs are pretty ubiquitous in online content. So what’s the “catch? Well, for the moment this souped-up snap is a “beta” and not 100% ready for :sys_more_orange:
    #News #Chromium #HardwareAcceleration #Intel #SnapApps #Snaps

    :sys_omgubuntu: omgubuntu.co.uk/2023/05/chromi

  7. Chromium Fan? Canonical and Intel Team Up for Hardware Accelerated Build

    If you run Ubuntu on a laptop or PC with 7th-generation Intel chips or later and you’re a fan of the Chromium browser, Canonical has something for you. It has partnered with Intel to create a Chromium snap that boasts hardware accelerated video decoding and encoding. Thus, the bespoke build offers better performance and extends battery life for Kaby Lake (7th Gen) and newer platforms when using VP8, VP9, and H.264 codecs. And those codecs are pretty ubiquitous in online content. So what’s the “catch? Well, for the moment this souped-up snap is a “beta” and not 100% ready for :sys_more_orange:
    #News #Chromium #HardwareAcceleration #Intel #SnapApps #Snaps

    :sys_omgubuntu: omgubuntu.co.uk/2023/05/chromi

  8. CW: research review

    D. Soni et al., "RPU: The Ring Processing Unit"¹

    Ring-Learning-with-Errors (RLWE) has emerged as the foundation of many important techniques for improving security and privacy, including homomorphic encryption and post-quantum cryptography. While promising, these techniques have received limited use due to their extreme overheads of running on general-purpose machines. In this paper, we present a novel vector Instruction Set Architecture (ISA) and microarchitecture for accelerating the ring-based computations of RLWE. The ISA, named B512, is developed to meet the needs of ring processing workloads while balancing high-performance and general-purpose programming support. Having an ISA rather than fixed hardware facilitates continued software improvement post-fabrication and the ability to support the evolving workloads. We then propose the ring processing unit (RPU), a high-performance, modular implementation of B512. The RPU has native large word modular arithmetic support, capabilities for very wide parallel processing, and a large capacity high-bandwidth scratchpad to meet the needs of ring processing. We address the challenges of programming the RPU using a newly developed SPIRAL backend. A configurable simulator is built to characterize design tradeoffs and quantify performance. The best performing design was implemented in RTL and used to validate simulator performance. In addition to our characterization, we show that a RPU using 20.5mm2 of GF 12nm can provide a speedup of 1485x over a CPU running a 64k, 128-bit NTT, a core RLWE workload

    #arXiv #ResearchPapers #RLWE #microarchitectures #ISA #HardwareAcceleration
    __
    ¹ arxiv.org/abs/2303.17118

  9. @mergy we hit your segment squared away. Fiber cut, and backup core pathway was 2Gbps link, but we never tuned configs for over 1Gbps. Should of had mandatory stress tests. #Dobb-Frank
    #HardwareAcceleration

  10. @mergy we hit your segment squared away. Fiber cut, and backup core pathway was 2Gbps link, but we never tuned configs for over 1Gbps. Should of had mandatory stress tests. #Dobb-Frank
    #HardwareAcceleration

  11. RX.py (gitlab.com/pvmm/rx.py) is a Python script that prepares images for rendering using the MSX2 blitter. It can be quite efficient compressing images rich in flat polygons, replacing the original image by a bunch of line segments (which are both easy to store and draw) and recreate the original image using the MSX2 hardware blitter (which is relatively fast). #msx2 #gamedev #retrogamedev #hardwareAcceleration #v9938

  12. RX.py (gitlab.com/pvmm/rx.py) is a Python script that prepares images for rendering using the MSX2 blitter. It can be quite efficient compressing images rich in flat polygons, replacing the original image by a bunch of line segments (which are both easy to store and draw) and recreate the original image using the MSX2 hardware blitter (which is relatively fast). #msx2 #gamedev #retrogamedev #hardwareAcceleration #v9938

  13. Say goodbye to slow video encoding and noisy fans with Intel QuickSync and AMD AMF's hardware-accelerated video encoding on Ubuntu 22.04! Enjoy faster and more energy-efficient video processing with these cutting-edge technologies. #HardwareAcceleration #VideoEncoding #Ubuntu22.04

    nemozone.writeas.com/intel-qui

  14. Say goodbye to slow video encoding and noisy fans with Intel QuickSync and AMD AMF's hardware-accelerated video encoding on Ubuntu 22.04! Enjoy faster and more energy-efficient video processing with these cutting-edge technologies. #HardwareAcceleration #VideoEncoding #Ubuntu22.04

    nemozone.writeas.com/intel-qui

  15. Hardware accelerated OpenMSX would not run on Wayland because GLEW expects GLX instead of EGL. So I wrote a tiny temporary fix until GLEW is fixed upstream and the major distros catch up. #glew #wayland #openMSX #emu #gnu #hardwareAcceleration #openGL github.com/openMSX/openMSX/pul

  16. Hardware accelerated OpenMSX would not run on Wayland because GLEW expects GLX instead of EGL. So I wrote a tiny temporary fix until GLEW is fixed upstream and the major distros catch up. #glew #wayland #openMSX #emu #gnu #hardwareAcceleration #openGL github.com/openMSX/openMSX/pul

  17. Working on a blog post on a small free indie game. Played it a few times, it was fun! I figured I should get some #screenshots.

    Played it a few more times, I enjoyed it. I tool screenshots using #Greenshot while playing. When done, I discover they're all of the title screen somehow. Argh.

    So, I played it a few more times. It was a bit tiring. I took screenshots with #ShareX. When done, its screenshots, too, were unusable.

    I recorded it using #OBS, which has a mode that's better at recording hardware acceleration, and got my screenshots out using #Shotcut. The game rasped against the inside walls of my brain while playing it.

    #gamewriting #games #hardwareacceleration

  18. Working on a blog post on a small free indie game. Played it a few times, it was fun! I figured I should get some #screenshots.

    Played it a few more times, I enjoyed it. I tool screenshots using #Greenshot while playing. When done, I discover they're all of the title screen somehow. Argh.

    So, I played it a few more times. It was a bit tiring. I took screenshots with #ShareX. When done, its screenshots, too, were unusable.

    I recorded it using #OBS, which has a mode that's better at recording hardware acceleration, and got my screenshots out using #Shotcut. The game rasped against the inside walls of my brain while playing it.

    #gamewriting #games #hardwareacceleration

  19. CW: research review

    N. Samardzic et al., "CraterLake: a hardware accelerator for efficient unbounded computation on encrypted data"¹

    Fully Homomorphic Encryption (FHE) enables offloading computation to untrusted servers with cryptographic privacy. Despite its attractive security, FHE is not yet widely adopted due to its prohibitive overheads, about 10,000X over unencrypted computation. Recent FHE accelerators have made strides to bridge this performance gap. Unfortunately, prior accelerators only work well for simple programs, but become inefficient for complex programs, which bring additional costs and challenges.
    We present CraterLake, the first FHE accelerator that enables FHE programs of unbounded size (i.e., unbounded multiplicative depth). Such computations require very large ciphertexts (tens of MBs each) and different algorithms that prior work does not support well. To tackle this challenge, CraterLake introduces a new hardware architecture that efficiently scales to very large cipher-texts, novel functional units to accelerate key kernels, and new algorithms and compiler techniques to reduce data movement.
    We evaluate CraterLake on deep FHE programs, including deep neural networks like ResNet and LSTMs, where prior work takes minutes to hours per inference on a CPU. CraterLake outperforms a CPU by gmean 4,600X and the best prior FHE accelerator by 11.2X under similar area and power budgets. These speeds enable realtime performance on unbounded FHE programs for the first time.

    #ResearchPapers #HomomorphicEncryption #HardwareAcceleration
    __
    ¹ dl.acm.org/doi/10.1145/3470496

  20. Huh... #Chrome on this system does not like #hardwareAcceleration apparently. Videos had some weird colour splitting that resulted in mostly green layers...

  21. Crypto exchange Liquid says it is now valued at over $1 billion following new investment - Crypto has a new unicorn after exchange Liquid announced today it has raised capital from investors ... more: feedproxy.google.com/~r/Techcr #hardwareacceleration #cryptocurrencies #cryptocurrency #southeastasia #philippines #idgcapital #singapore #coinbase #bitmain #unicorn #vietnam #mining #japan #malta #asia

  22. Determined AI nabs $11M Series A to democratize AI development - Deep learning involves a highly iterative process where data scientists build models and test them o... more: feedproxy.google.com/~r/Techcr #artificialintelligence #hardwareacceleration #machinelearning #determinedai #enterprise #startups #funding #tc #gv