Abstract: GPU utilizes the wide cache-line (128B) on-chip cache to provide high bandwidth and efficient memory accesses for applications with regularly-organized data structures. However, emerging ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...

Python does include another native way to run a workload across multiple CPUs. The multiprocessing module spins up multiple copies of the Python interpreter, each on a separate core, and provides ...

AMD’s Zen 4 3D V-Cache CPUs are true marvels of modern CPU performance. They offer exceptional gaming performance on par with the absolute best that Intel has to offer, and yet do it at a fraction of ...

During the early stages of the Covid-19 pandemic, reports emerged that persons who had been infected with SARS-CoV-2 were having lingering health problems. Such long-term issues were collectively ...

from functools import partial from joblib import Memory mem = Memory(cache_dir, verbose=0) def foo(a: str, b: str): msg = f"a={a}, b={b}" print(f"foo called with {msg ...

Abstract: The need of faster access-times and increased memory bandwidths has triggered a concerted research effort towards deploying optical memory circuitry, targeting at the apex of the memory ...