50 citations · 111 across the 18 of their papers we have counts for
22 papers
Agentic CPU-GPU Scheduling for Heterogeneous AI Workloads
Tianxi Lu, Sherief Reda
Agentic AI systems compose heterogeneous tool workloads on shared GPU/CPU infrastructure, yet existing frameworks assign all GPU-capable tools to the GPU by default. We profile 19…
Approximate Logic Synthesis Using BLASYS
Jingxiao Ma, Soheil Hashemi, Sherief Reda
Approximate computing is an emerging paradigm where design accuracy can be traded for improvements in design metrics such as design area and power consumption. In this work, we ove…
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning
Ahmed Agiza, Marina Neseem, Sherief Reda
Adapting models pre-trained on large-scale datasets to a variety of downstream tasks is a common strategy in deep learning. Consequently, parameter-efficient fine-tuning methods ha…
GraPhSyM: Graph Physical Synthesis Model
Ahmed Agiza, Rajarshi Roy, Teodor Dumitru Ene +3
In this work, we introduce GraPhSyM, a Graph Attention Network (GATv2) model for fast and accurate estimation of post-physical synthesis circuit delay and area metrics from pre-phy…
Microscale 3-D Capacitance Tomography with a CMOS Sensor Array
Manar Abdelatty, Joseph Incandela, Kangping Hu +3
Electrical capacitance tomography (ECT) is a nonoptical imaging technique in which a map of the interior permittivity of a volume is estimated by making capacitance measurements at…
Throughput Maximization of DNN Inference: Batching or Multi-Tenancy?
Seyed Morteza Nabavinejad, Masoumeh Ebrahimi, Sherief Reda
Deployment of real-time ML services on warehouse-scale infrastructures is on the increase. Therefore, decreasing latency and increasing throughput of deep neural network (DNN) infe…