The memory wall is no longer a theoretical concern. It’s the defining bottleneck in today’s AI, automotive, and data center system-on-chips (SoCs). CPUs operate at GHz frequencies with single-digit ...
Meta has provided a rare glimpse into the company's storage infrastructure, claiming the system underpinning its AI operations helped slash the time it takes researchers to move AI training data ...
When it comes to running on-device AI, the biggest hurdle is usually the amount of memory the system has available. While the specifics of where that memory is coming from, whether it be CPU RAM or ...
Which browser is the best? This is a question that even can't philosophers answer, but you will find a fierce battle over it in comment sections across various fora. If you ask my opinion, you should ...
Abstract: Data prefetchers play a crucial role in alleviating the memory wall by predicting future memory accesses. First-level cache prefetchers can observe all memory instructions but often rely on ...
Heterogeneous memory combining DRAM and CXL exhibits variable performance, yet existing metrics correlate weakly with actual slowdown. We present CAMP, a principled framework for predicting ...
Abstract: Photo service providers are facing critical challenges of dealing with the huge amount of photo storage, typically in a magnitude of billions of photos, while ensuring national-wide or world ...
LongCat-2.0 is Meituan’s next-generation trillion-parameter open model. It follows LongCat-Flash, a 560B model released in 2025. The architecture was designed around one goal: reliable, efficient ...
“The text is moving, but there is no sound.” When listening to a radio program on iPhone Safari, the audio suddenly goes silent when a section changes. Even though the subtitles for the dialogue are ...
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Hardware prefetching, including a content-directed prefetcher - the data cache speculatively treats recently loaded/stored values as candidate pointers and probes the cache for them (bounds-checked ...
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