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NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference

Jiajun Hu, Ruthwik Reddy Sunketa, Lei Zhao, Archit Gajjar 2026-07-19
Design × Space Exploration Agentic Architecture Inference

The problem is that conventional ReRAM-based IMC blocks in FPGAs only support static-weight VMM, limiting efficiency gains for Transformer models that require nonlinear and dynamic matrix-matrix multiplication (DIMM), while ADCs consume over 70% of IMC block area and power. The method proposes a novel FPGA architecture with an ADC-free IMC block using analog content-addressable memories (ACAMs) for native nonlinear operations, along with FPGA-aware design-space exploration and efficient mapping for DIMM. Experimental evidence shows up to 40x and 1.9x higher energy efficiency and 4.1x and 2.5x higher area efficiency on CNN and Transformer benchmarks, respectively. This matters because it significantly improves FPGA DL inference efficiency, especially for Transformer-based workloads, advancing domain-specialized FPGA design.

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StreamingQEC: Streaming Quantum Error Correction in Tightly Integrated Quantum-Classical Systems via Certified Recurrence

Panayiotis Christou, Shuwen Kan, Hao Wang, Ying Mao 2026-07-19
Design × Space Exploration Quant Ph Agentic Architecture

StreamingQEC addresses the problem of modeling resource contention in tightly integrated quantum-classical systems during continuous quantum error correction. The method introduces a system-level simulator with explicit discrete-event simulation, an automatic staged-fluid mode for faster exploration, and a certified recurrence mechanism that compresses repeated scheduling states. Experimental evidence shows recurrence achieves a 24.0x host-side speedup while preserving 59,743,936 decoding events for a 16-job anchor workload, and the staged-fluid mode yields a mean makespan error of 2.60%. This matters because it enables system architects to evaluate resource-limited pipeline stalls and saturation under microsecond-scale QEC cycles, which is critical for designing scalable fault-tolerant quantum computers.

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