TechioSoft’s Post

Better CFD Performance with Heterogeneous CPU-GPU Load Balancing 🚀The Load balancing using both CPUs and GPUs has improved the performance of a turbulent flow simulation by up to 87% compared to GPU-only execution. This was achieved by strategically distributing computationally intensive turbulent inlet regions to CPUs while assigning the less demanding bulk regions to GPUs. 🔬 The inhomogeneous spatial domain decomposition was optimized using a cutting-edge genetic algorithm tailored for cost-aware optimization. This method ensures that each simulation part is processed on the most suitable hardware, maximizing efficiency. 💻 The simulation ran on a single accelerated CPU-GPU node of the HoreKa supercomputer, utilizing OpenLB's support for MPI, OpenMP, AVX-512 vectorization, and CUDA. With 355 million lattice cells, the system achieved an impressive throughput of ~19.25 billion cell updates per second for the NSE-only case. 🔗 Learn More: OpenLB.net 🔗 Read the Preprint: https://lnkd.in/dsYVdbbZ 💳 Credits: openlb Simulation Setup: Fedor Bukreev Heterogeneous Load Balancing & Visualization: Adrian Kummerländer #HPC #CFD #OpenLB #LoadBalancing #CPU #GPU #Supercomputing #PerformanceOptimization #LatticeBoltzmann #Simulation #TechEngineering #HoreKa #HighPerformanceComputing

💾 Accelerating Coastal Inundation Modelling with GPUs 💾 Coastal inundation can pose serious threats to infrastructure and lives. Accurate models are crucial for planning and protection, but the computational cost can be high. That’s where we have stepped in! 😀 At NIWA, we compared the XBeach model’s performance on CPUs vs. GPUs using the Māui supercomputer and CSIRO resources. The results? Desktop GPUs can now rival high-performance CPU clusters in speed and efficiency, making advanced modelling more accessible to private and public sectors. 🔹 15x greater speed-up on GPUs 🔹 Potential to cut down costs and improve accuracy 🔹 Vital tool for resilience planning against future sea-level rise This breakthrough shows how GPU-powered models could benefit engineers and consultants worldwide—especially those without access to supercomputers. 🌐 Grateful to have NeSI’s Māui supercomputer at my disposal, expanding the scope of my research exponentially! 🚀 For more, please read the NeSI article here: https://lnkd.in/geuvY3hX or the full paper here: https://lnkd.in/g-SG7QrC #CoastalEngineering #NumericalModelling #GPUs #HPC #EnvironmentalResearch #Innovation #Resilience #Supercomputing #XBeach #ClimateChange Cyprien Bosserelle

Unleash the performance of PCIe 6.x for next-gen #AI! PCIe 6.x technology is revolutionizing how GPUs, CPUs, and AI accelerators handle demanding AI workloads in hyperscale systems. To unlock their full potential, rigorous testing is crucial for ensuring seamless plug-and-play interoperability – a must for rapid AI development. Discover how we support standards compliance and system-level interoperability of these components with our Aries Smart DSP Retimers in our #Cloud-Scale Interop Lab. Learn more about 'Why We Test'!" Watch now:

In this video, Anastasi, in 19 minutes, discusses cooling tech challenges for GPU and CPU semiconductor-based computation, needed for current chips and the next wave and generations of products for GenAI (which, of course, shall affect almost all of us knowledge producing and consuming individuals, economically, environmentally, socially).

#Quantization reduces the precision of the numbers used to represent a model's parameters (weights and activations). This can be done entirely through software during the model training or post-training phases. The lower precision numbers require less memory and computational power, which translates into improved performance when the model is running. The hardware, such as CPUs, GPUs, or specialized AI accelerators, benefits from these optimizations as they can perform computations faster and more efficiently with lower precision data.

AMD's Latest Launch: Introducing Ryzen AI Mobile CPUs with Enhanced NPUs AMD’s innovation trajectory continues to impress as it unveils its latest generation of mobile CPUs, now branded as Ryzen AI. With the promise of up to 50 TOPS (Trillions of Operations Per Second) in neural processing power, these processors mark a significant leap forward in AI acceleration technology. The new CPUs, built on the third-gen Neural Processing Unit architecture dubbed XDNA 2, are integrated with upgraded CPU cores using the cutting-edge Zen 5 process. Alongside, there’s an enhanced integrated GPU, RDNA 3.5, offering a comprehensive solution for modern computing needs. https://is.gd/Mi5ugn #AI #AMD #artificialintelligence #Electronics #llm #machinelearning #RyzenAI

SIMD (Single Instruction, Multiple Data) is a parallel processing technique that's been gaining traction among modern technologies like Polars, DuckDB, Timescale, QuestDB. But what exactly is SIMD, and why is it such a game-changer? In a nutshell, SIMD allows a single instruction to perform the same operation on multiple data elements simultaneously. By leveraging specialized hardware, SIMD-capable CPUs can significantly boost performance in data-intensive applications. SIMD-capable CPUs have wider registers and dedicated execution units that process multiple data elements in parallel. This means that instead of processing data one element at a time, SIMD enables the CPU to work on multiple elements at once, greatly speeding up execution. While SIMD might sound similar to GPU processing, there's a key difference. GPUs are designed for highly parallel workloads and excel at processing thousands of simple, independent tasks simultaneously. In contrast, SIMD is built into the CPU and focuses on parallelizing a single instruction across multiple data points, making it more efficient for certain types of data processing tasks without including overhead of transferring data to the GPU. For those interested in reading more, I found this blog post from Timescale very insightful: https://lnkd.in/g4qFWvNX #computerscience #engineering #data #dataprocessing

It sure would be nice if IBM were to publish a block diagram for the full IBM Quantum System Two (and One) which labeled all of the major components of the system, and specifically pointed out the "QPU". I don't think the "chip" containing the qubits is the entire "QPU" - it should also include all of the digital and analog circuitry and cabling needed to generate and transmit the pulses needed to implement each gate (transformation matrix) since that's what a CPU does classically (fetch an instruction, decode the operation, and execute the operation). I'd refer to the chip as the "QPU chip", but not the entire QPU. In fact, the QPU might include the classical software (and CPU that runs it?!) that schedules and sequences the execution of the gates of a quantum circuit. And the "quantum computer" is more than just the QPU alone, just as a classical "computer" is more than just the CPU. #IBMQuantum #IBM #QuantumComputing #QuantumApplications #QuantumAlgorithms #QuantumInformationScience #QIS #QuantumTechnologies #QuantumTech #Quantum

🌊🔬 Exciting times in tech! Discover how CPUs can now be cooled and merged in dialectic fluid without damage in less than 30 seconds This innovative method boosts performance and efficiency. The future of computing is here! 💻✨ Follow Amine Ait Mbark for more on China and Innovation Credit: ThatWasDope #TechInnovation #CPUCooling #FutureOfComputing #InnovationInTech

What is a QPU? A Quantum Processing Unit (QPU) is the core computational engine in a quantum computer, analogous to the CPU in a classical computer. While classical CPUs process bits, which represent either 0 or 1, a QPU processes qubits. Qubits can exist in multiple states simultaneously (superposition) and be entangled with each other, allowing QPUs to perform complex calculations at speeds unattainable by classical processors. Through standardized QPU design simulation, fabrication, packaging, and testing processes, SPINQ has achieved the capability of producing commercially available high-performance QPUs with decoherence time T1 of up to 100 μs or more. We are making the mass production of QPU much easier for industrial users. Learn more about SPINQ QPU https://lnkd.in/gHfUQGGz #QuantumComputing #QPU #SPINQ