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Post-Training Quantization with Low-precision Minifloats and Integers on FPGAs
However, the exploration of floating-point formats smaller than 8 bits and their comparison with integer quantization remains relatively limited.
MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions
MicroRec accelerates recommendation inference by (1) redesigning the data structures involved in the embeddings to reduce the number of lookups needed and (2) taking advantage of the availability of High-Bandwidth Memory (HBM) in FPGA accelerators to tackle the latency by enabling parallel lookups.
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices
Neural networks have established as a generic and powerful means to approach challenging problems such as image classification, object detection or decision making.
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