Category: HPC
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High-Performance Matrix Multiplication with FLAME/BLIS: A Deep Dive into DGEMM
When it comes to scientific computing and machine learning, efficient matrix multiplication is a fundamental building block. Among the most critical operations in linear algebra libraries is DGEMM (Double-precision General Matrix Multiply), which computes the product of two double-precision matrices. In the quest for optimal performance, the BLAS (Basic Linear Algebra Subprograms) interface has been…
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Navigating Memory Management in NUMA Architectures with Dual Memory Technologies
Modern applications are increasingly complex, requiring not only higher compute power but also sophisticated memory solutions to achieve optimal performance. NUMA (Non-Uniform Memory Access) architectures are designed to tackle memory performance challenges in systems with multiple processors, allowing each processor to access its own local memory faster than it can access memory attached to other…
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xAI Colossus: Musk’s HPC Powerhouse Set to Transform AI
xAI Colossus: Musk’s HPC Powerhouse Set to Transform AI Elon Musk’s xAI initiative is powered by a supercomputing cluster called Colossus, designed for high-performance computing (HPC) on an unprecedented scale. The system features over 10,000 Nvidia H100 GPUs, making it one of the most powerful AI-focused clusters in the world. The integration of these GPUs…
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ARM SVE2 explained
Scalable Vector Extension 2 (SVE2) is an updated version of the Scalable Vector Extension (SVE), an instruction set introduced by ARM for its processors to improve performance in high-performance computing (HPC), artificial intelligence (AI), and machine learning (ML). SVE2 builds on SVE, offering several improvements aimed at enhancing performance and versatility, especially for general-purpose and…
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Supercomputers explained
What is a Supercomputer? What Supercomputers Can Do That Other Systems Cannot: Supercomputers are essential for pushing the boundaries of science, engineering, and technology by tackling problems that require enormous computational resources far beyond what standard computers can handle.
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Benchmark Graviton3E vs Graviton3
We benchmark the recently released HPC platform: Amazon-Graviton3E. Amazon recently made available the HPC version of Graviton3 named Graviton3E. According to them, the new Hpc7g instances provide up to 35 percent higher vector instruction processing performance in relation to the simple Graviton3. Additionally, Graviton3E provides two times better floating-point performance in comparison to Graviton2. All…
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HPC news: Tachyum’s prodigy processor targeting 50 exaFLOP supercomputer
Tachyum‘s forthcoming chip, Prodigy, is poised to power a colossal 50 exaFLOPS supercomputer, with one customer committing to buying hundreds of thousands of these processors. Prodigy is touted to offer 25 times the performance of the world’s fastest conventional supercomputer, including capabilities for AI performance, featuring hundreds of petabytes of DDR5 memory. Tachyum describes Prodigy…
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What drives today’s HPC
High-Performance Computing (HPC) is a field that continually evolves to meet the growing demands of scientific research, industrial applications, and various other computational challenges. Several factors are driving the current development of HPC: These factors, among others, are propelling HPC development, leading to innovations in hardware, software, and algorithms to meet the ever-increasing demands for…
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Sparse matrix applications for HPC
Sparse matrix applications are prevalent in High-Performance Computing (HPC) for various scientific and engineering simulations. These applications deal with matrices in which most of the elements are zero. Here are ten examples of sparse matrix applications commonly used in HPC: These applications are integral to many scientific and engineering fields, and optimizing algorithms and solvers…
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Key elements in HPC today
Most significant elements in today’s HPC are the following: