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From the 1 of 7 linked papers with an AI index.

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7 papers

cs.AR2026

Emulated Integrity Replica: Enabling Self-Healing on FPGA SoCs via Hierarchical Twins

Arsalan Ali Malik, Ali Suvizi, Guru Venkataramani +1

The paper introduces Emulated Integrity Replica (EIR), a hierarchical digital‑twin framework for FPGA SoCs that uses idle processor cycles to run lightweight behavioral and detaile…

cs.AR2025

Preemption-Enhanced Benchmark Suite for FPGAs

Arsalan Ali Malik, John Buchanan, Aydin Aysu

Field-Programmable Gate Arrays (FPGAs) have become essential in cloud computing due to their reconfigurability, energy efficiency, and ability to accelerate domain-specific workloa…

cs.CR2025

CRAFT: Characterizing and Root-Causing Fault Injection Threats at Pre-Silicon

Arsalan Ali Malik, Harshvadan Mihir, Aydin Aysu

Fault injection attacks (FIA) pose significant security threats to embedded systems as they exploit weaknesses across multiple layers, including system software, instruction set ar…

cs.CR2025

Honest to a Fault: Root-Causing Fault Attacks with Pre-Silicon RISC Pipeline Characterization

Arsalan Ali Malik, Harshvadan Mihir, Aydin Aysu

Fault injection attacks represent a class of threats that can compromise embedded systems across multiple layers of abstraction, such as system software, instruction set architectu…

cs.DC2025

EPOCH: Enabling Preemption Operation for Context Saving in Heterogeneous FPGA Systems

Arsalan Ali Malik, Emre Karabulut, Aydin Aysu

FPGAs are increasingly used in multi-tenant cloud environments to offload compute-intensive tasks from the main CPU. The operating system (OS) plays a vital role in identifying tas…

cs.OS2025

THEMIS: Time, Heterogeneity, and Energy Minded Scheduling for Fair Multi-Tenant Use in FPGAs

Emre Karabulut, Arsalan Ali Malik, Amro Awad +1

Using correct design metrics and understanding the limitations of the underlying technology is critical to developing effective scheduling algorithms. Unfortunately, existing sched…