Fully Homomorphic Encryption (FHE) enables the processing of encrypted data without
decrypting it. FHE has garnered significant attention over the past decade as it supports …

Chiplets are transforming computer system designs, allowing system designers to combine
heterogeneous computing resources at unprecedented scales. Breaking larger, mono-lithic …

Today, DNNs' high computational complexity and sub-optimal device utilization present a
major roadblock to democratizing DNNs. To reduce the execution time and improve device …

The breakdown in Moore's Law and Dennard Scaling is leading to drastic changes in the
makeup and constitution of computing systems. For example, a single chip integrates 10 …

The ability to model and predict the execution time of GPU computations is crucial for real-
time graphics application development and optimization. While there are many existing …

Large Language Models increasingly rely on distributed techniques for their training and
inference. These techniques require communication across devices which can reduce …

Artificial intelligence (AI) depends on data. In sensitive domains–such as healthcare,
security, finance, and many more–there is therefore a tension between unleashing the …

Heterogeneous Unified Memory Architectures (HUMA) provide a unified memory space for
on-die CPUs, GPUs, and other hardware accelerators. Such architectures improve …

Computer architecture simulators play an essential role in the development and optimization
of computer hardware. A variety of simulators have been developed to explore the design …

Fully Homomorphic Encryption (FHE) enables the processing of encrypted data without
decrypting it. FHE has garnered significant attention over the past decade as it supports …