collaborators

8 papers

cs.PF2026

MADAR: An Address-Free Processor

Mohamed Amine Bergach

In a modern processor, computing is the cheap part. Most of its area and energy go to \emph{addressing} -- moving operands to and from a register file and cache, and running the ta…

cs.PF2026

Range, Not Precision: Block-Floating-Point Half-Precision FFT and SAR Imaging on Apple Silicon

Mohamed Amine Bergach

Half precision (FP16) promises to double FFT throughput on GPUs, but the prevailing view is that its 10-bit mantissa makes it unsuitable for radar-grade signal processing. We show…

cs.PF2026

When Quantization Is Free: An int4 KV Cache That Outruns fp16 on Apple Silicon

Mohamed Amine Bergach

KV-cache quantization is framed as a quality--latency trade-off. We show it is \emph{inverted} on Apple Silicon's unified memory: a single fused Metal kernel (sign-randomized FFT $…

cs.PF2026

Training Transformers in Cosine Coefficient Space

Mohamed Amine Bergach

Linear layers hold most of a transformer's parameters. We replace each linear layer with one that stores out of two-dimensional DCT coefficients per weight matrix and reco…

cs.PF2026

Shortest-Path FFT: Optimal SIMD Instruction Scheduling via Graph Search

Mohamed Amine Bergach

An -point FFT admits many valid implementations that differ in radix choice, stage ordering, and register-blocking strategy. These alternatives use different SIMD instruction mi…

cs.PF2026

From 8 Seconds to 370ms: Kernel-Fused SAR Imaging on Apple Silicon via Single-Dispatch FFT Pipelines

Mohamed Amine Bergach

We present the first kernel-fused SAR Range Doppler pipeline on any GPU platform. By fusing FFT, matched-filter multiply, and IFFT into a single Metal compute dispatch -- keeping a…