We design and develop ObliVM, a programming framework for secure computation. ObliVM
offers a domain specific language designed for compilation of programs into efficient …

Existing serverless computing platforms are built upon homogeneous computers, limiting the
function density and restricting serverless computing to limited scenarios. We introduce …

Intel Software Guard extensions (SGX) enable secure and trusted execution of user code in
an isolated enclave to protect against a powerful adversary. Unfortunately, running I/O …

Computer systems increasingly rely on heterogeneity to achieve greater performance,
scalability and energy efficiency. Because heterogeneous systems typically comprise …

Despite the popularity of GPUs in high-performance and scientific computing, and despite
increasingly general-purpose hardware capabilities, the use of GPUs in network servers or …

GPUs have become ubiquitous in the cloud due to the dramatic performance gains they
enable in domains such as machine learning and computer vision. However, offloading …

Today's cloud storage stack is extremely resource hungry, burning 10-20% of datacenter
x86 cores, a major" storage tax" that cloud providers must pay. Yet, the complex cloud …

To break the GPU memory wall for scaling deep learning workloads, a variety of architecture
and system techniques have been proposed recently. Their typical approaches include …

Graphics Processing Units (GPUs) unlock emerging use cases like large language models
and autonomous driving. They process a large amount of sensitive data, where security is of …

The emerging paradigm of microservices decomposes online services into fine-grained
software modules frequently communicating over the datacenter network, often using …