Fault-tolerant quantum simulation just got 250 times cheaper to run. QuEra Computing and Los Alamos published an architecture ...
AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...
A new optical in-memory computing system based on an array of vertical-cavity surface-emitting lasers (VCSELs) has the potential to circumvent the Von Neumann bottleneck. The high modulation speed of ...
Abstract: Multiplication is a fundamental operation in neural network models. However, signed multibit multiplication and accumulation (MAC) pose significant challenges, primarily due to the ...
Abstract: Field-programmable gate arrays (FPGAs) can efficiently implement custom applications via their embedded digital signal processor (DSP) slices, including binary multipliers. An increasing ...
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...
The execution model in Nvidia GPUs is SIMT (Single‑Instruction, Multiple‑Threads). At the hardware level, the GPU schedules and executes threads in groups of 32 called "warps". In this "load-store" ...
Cyclops is a parallel (distributed-memory) numerical library for multidimensional arrays (tensors) in C++ and Python. Quick documentation links: C++ and Python. Broadly, Cyclops provides tensor ...
Abstract— Multipliers are crucial components in processors and arithmetic logic units. The performance of microsystems, microcontrollers, and DSP processors is often evaluated based on the number of ...
The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results