#parallelprocessing
September 17, 2026 at 9:20 AM
The future of #CPU performance starts w/ new ideas. #AI workloads are increasingly parallel, Improving CPU performance is a defining challenge. We're developing a new approach to #ParallelProcessing that works w/ CPUs, unlocking greater parallel performance + preserving existing software ecosystems.
August 11, 2026 at 1:20 PM
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#compressor #parallelprocessing #mixing #punchy #lowend
August 8, 2026 at 7:00 AM
❓ Not sure when to use Task.WhenAll() versus Parallel.ForEach()? Fati talks about how these differ and what they are each suited for.

🧠 Learn more here: https://bit.ly/3WdAxVO

#dotnet #SoftwareDevelopment #ParallelProcessing #async
June 26, 2026 at 3:59 PM
Compute demands are growing. Efficient performance is critical. #FlowPPU solves this challenge. Thank you to the #DTM100 team, judges, investors, founders & everyone we met. Learn more about our approach to scalable #ParallelProcessing:
flow-computing.com

#HPC #Semiconductors #DeepTech #CPU
Winner of the #HPC track. Top 7 / 5,000+. Our CEO & Co-Founder, Timo Valtonen, represented us #DeepTechMomentum in the DTM100 pitch competition. We advanced to the finals & were recognized as the #HPC track winner. Compute infrastructure, #CPU bottlenecks & parallel performance surfaced repeatedly.
June 1, 2026 at 9:08 AM
How top-performing digital brands are using a 'parallel connection architecture' to handle thousands of support requests simultaneously - using nothing but a standard Telegram bot.
hotline.tg/en/
#telegram #crm #hotline #support #sales #leadgen #bots #parallelProcessing #scalability #customerSupport
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hotline.tg
May 25, 2026 at 2:04 AM
Graphic Processors: Beyond Pixels, Into Parallel

New GPUs like the GA102 have 10,752 CUDA cores, 336 Tensor Cores, and 84 Ray Tracing Cores, improving AI and game graphics.

#GPU #AICores #GamingTech #ParallelProcessing #TechNews

https://newsletter.tf/gpu-cores-ai-gaming-performance/
May 22, 2026 at 2:32 AM
Support Parallel Processing for Archive Jobs in Dynamics 365 Finance and Operations: We’re pleased to introduce a new capability for Dynamics 365 Finance and Operations archive with Dataverse long-term retention: parallel… @MSFTDynamics365 #Dynamics365 #FinanceAndOperations #ParallelProcessing
Support Parallel Processing for Archive Jobs in Dynamics 365 Finance and Operations
We’re pleased to introduce a new capability for Dynamics 365 Finance and Operations archive with Dataverse long-term retention: parallel processing for archive jobs. This enhancement allows the Archive job scheduler to run multiple archive jobs at the same time, dramatically reducing the time required to archive high volumes of transaction data across legal entities. The post Support Parallel Processing for Archive Jobs in Dynamics 365 Finance and Operations appeared first on Microsoft Dynamics 365 Blog.
dlvr.it
April 22, 2026 at 11:04 PM
❓ Not sure when to use Task.WhenAll() versus Parallel.ForEach()? Fati talks about how these differ and what they are each suited for.

🧠 Learn more here: https://bit.ly/3WdAxVO

#dotnet #SoftwareDevelopment #ParallelProcessing #async
March 25, 2026 at 3:59 PM
Europe’s #DeepTech ecosystem is entering a new phase where advances in #computing, #robotics, & #AI infrastructure are converging to power real-world systems. We’re grateful to be featured in FOV’s Viewpoints article on Europe’s deep tech frontier. Thanks David Ripert & FOV team for the support.
March 11, 2026 at 8:38 AM
NextGen performance comes from how efficiently parallel work happens inside CPUs. #FlowPPU is built around this: #ParallelProcessing integrates directly into the #CPU; Works across architectures - x86, arm, @riscv.org.web.brid.gy, OpenPower; Configurable for different targets (hyperscale - edge).
February 17, 2026 at 1:06 PM
Has anyone got any experience in #parallelprocessing in R?

I'm running hysplit trajectories (wrapped in a tryCatch) in parallel using parLapply from {parallel}, and they are failing intermittently - in a list of 10, one or as many as 4 will run OK, but the rest will return NAs. When I run them […]
Original post on fediscience.org
fediscience.org
February 2, 2026 at 3:40 PM
❓ Not sure when to use Task.WhenAll() versus Parallel.ForEach()? Fati talks about how these differ and what they are each suited for.

🧠 Learn more here: https://bit.ly/3WdAxVO

#dotnet #SoftwareDevelopment #ParallelProcessing #async
December 21, 2025 at 4:59 PM
Our 256-core #PPU boosted performance by 43x compared to #AMD EPYC Zen5’s 96-core #CPU. This chart shows the benchmark highligh. This is just one of several validated workloads. To dive deeper, request access to the full performance results, poster, + demo: flow-computing.com/performance-results
November 26, 2025 at 9:53 AM
We walk you through the super-pipelined, Superscalar #VLIW architecture inside each Processing Element of our PPU. Watch how this design achieves high-throughput execution with low latency and deterministic performance.👇
#FlowComputing #ParallelProcessing #DeepTech #Semiconductors #HPC #PPU #CPU
November 17, 2025 at 12:52 PM
We walk you through the super-pipelined, Superscalar #VLIW architecture inside each Processing Element of our PPU. Watch how this design achieves high-throughput execution with low latency and deterministic performance.👇
#FlowComputing #ParallelProcessing #DeepTech #Semiconductors #HPC #PPU #CPU
November 17, 2025 at 12:52 PM
This approach enables execution to scale efficiently across all cores, maintaining high throughput and smooth parallel performance.

Next week: Pt. 4, Inside the Processing Element

#FlowComputing #PPU #ParallelProcessing #CPU #DeepTech #Semiconductors
#PPU as part of a #CPU system, Pt. 3: Synchronization
The PPU supports a wave-based synchronization scheme that keeps PEs in sync with minimal overhead.

👉 Request the full demo + poster: flow-computing.com/performance-...
November 11, 2025 at 3:52 PM
November 5, 2025 at 7:21 AM
Why can’t CPUs keep scaling performance, even as we add more cores? In this episode, we talk about the architectural bottlenecks that limit today’s processors, & how Flow’s #ParallelProcessingUnit ( #PPU ) solves them.
#Podcast #FlowComputing #CPU #ParallelProcessing #DeepTech #Semiconductors #HPC
November 5, 2025 at 7:21 AM
👉 Request the full demo + poster: flow-computing.com/performance-...

Next week: Pt. 3, Synchronization

#FlowComputing #PPU #ParallelProcessing #CPU #DeepTech #Semiconductors
#PPU as part of a #CPU system, Pt. 2, Processing Elements (PEs): parallel cores that handle computation. In this segment, we explain how the PEs are connected through a high-bandwidth mesh network, enabling low-latency.
#FlowComputing #PPU #ParallelProcessing #CPU #DeepTech #Semiconductors
November 4, 2025 at 7:04 AM