Graphics Processing Units (GPUs) are now pivotal in high-performance computing, offering substantial computational throughput through inherently parallel architectures. Modern research in GPU ...

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Overview: High-Performance Computing (HPC) training spans foundational parallel programming, optimization techniques, ...

We are witnessing the rise of a completely new computing era. Within the next decade, a trillion-dollar-plus data center business is poised for transformation, powered by what we refer to as extreme ...

Until the late 1990s, the concept of a 3D accelerator card was something generally associated with high-end workstations. Video games and kin would run happily on the CPU in one’s desktop system, with ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...

A new technical paper titled “ZKProphet: Understanding Performance of Zero-Knowledge Proofs on GPUs” was published by researchers at University of Michigan. “Zero-Knowledge Proofs (ZKP) are protocols ...

The use of Graphics Processing Units (GPUs) to accelerate the Finite Element Method (FEM) has revolutionised computational simulations in engineering and scientific research. Recent advancements focus ...

CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...