Compilation and Code Optimization for Data Analytics

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Software is pervasive in our daily lives. From remote-controlled traffic lights that orchestrate traffic flows to applications reminding us to take medications, it increasingly governs safety-critical systems. To ensure correct and continuous execution, bu ...

Formally verifying the correctness of software is necessary to merit the trust people put in software systems. Currently, formal verification requires human effort to prove that a piece of code matches its specification and code changes to improve verifiab ...

Type systems are a device for verifying properties of programs without running them. Many programming languages used in the industry have always had a type system, while others were initially created without a type system and later adopted one, when the ad ...

Electronic devices play an irreplaceable role in our lives. With the tightening time to market, exploding demand for computing power, and continuous desire for smaller, faster, less energy-consuming, and lower-cost chips, computer-aided design for electron ...

Electrical stimulation of the visual nervous system could improve the quality of life of patients affected by acquired blindness by restoring some visual sensations, but requires careful optimization of stimulation parameters to produce useful perceptions. ...

In this paper, we present a new parameterization and optimization procedure for minimizing the weight of ribbed plates. The primary goal is to reduce embodied CO2 in concrete floors as part of the effort to diminish the carbon footprint of the construction ...

A frequency scaling governor is critical for the performance management of cloud servers, as it enhances energy efficiency and helps to control operational temperatures, thereby ensuring system reliability. However, our in-depth analysis of the application ...

Generative language models (LMs) have become omnipresent across data science. For a wide variety of tasks, inputs can be phrased as natural language prompts for an LM, from whose output the solution can then be extracted. LM performance has consistently be ...

Data-driven approaches have been applied to reduce the cost of accurate computational studies on materials, by using only a small number of expensive reference electronic structure calculations for a representative subset of the materials space, and using ...

Electrochemical CO2 reduction (eCO(2)R) is a promising strategy to transform detrimental CO2 emissions into sustainable fuels and chemicals. Key requirements for advancing this field are the development of analytical systems and of methods that are able to ...

Data races have long been a notorious problem in concurrent programming. They are subtle to detect, and lead to non-deterministic behaviours. There has been a lot of interest in type systems that statically guarantee data race freedom. Significant progress ...

Compilers assure that any produced optimized code is semantically equivalent to the original code. However, even "correct" compilers may introduce security bugs as security properties go beyond translation correctness. Security bugs introduced by such corr ...

Advances in computational capabilities and large volumes of experimental data have established computer simulations of brain tissue models as an important pillar in modern neuroscience. Alongside, a variety of domain specific languages (DSLs) have been dev ...

While software applications, programming languages, and hardware have changed, operating systems have not. Widely-used commodity operating systems are still modeled after the ones designed in the seventies. The accumulated burden of backward compatibility ...

Today's continued increase in demand for processing power, despite the slowdown of Moore's law, has led to an increase in processor count, which has resulted in energy consumption and distribution problems. To address this, there is a growing trend toward ...

Designing turbocompressors is a complex and challenging task, as it involves balancing conflicting objectives such as efficiency, stability, and robustness against manufacturing deviations. This paper proposes an integrated design methodology for turbocomp ...

Code-reuse attacks are dangerous threats that attracted the attention of the security community for years. These attacks aim at corrupting important control-flow transfers for taking control of a process without injecting code. Nowadays, the combinations o ...

Analytical workloads are evolving as the number of users surges and applications that submit queries in batches become popular. However, traditional analytical databases that optimize-then-execute each query individually struggle to provide timely response ...

Agent-based simulations have been widely applied in many disciplines, by scientists and engineers alike. Scientists use agent-based simulations to tackle global problems, including alleviating poverty, reducing violence, and predicting the impact of pandem ...

In data-parallel optimization of machine learning models, workers collaborate to improve their estimates of the model: more accurate gradients allow them to use larger learning rates and optimize faster. In the decentralized setting, in which workers commu ...

Compilation and Code Optimization for Data Analytics

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Securing low-level code with minimal developer efforts: from preventing type confusion by design to automated library fuzzing

Automated Formal Verification of Software Network Functions

Formal Foundations of Capture Tracking

Contemporary Logic Synthesis: with an Application to AQFP Circuit Optimization

Decoding electroencephalographic responses to visual stimuli compatible with electrical stimulation

Mesh-based topology, shape and sizing optimization of ribbed plates

Is the powersave governor really saving power?

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

Efficient and insightful descriptors for representing molecular and material space

Parallel experiments in electrochemical CO2 reduction enabled by standardized analytics

Degrees of Separation: A Flexible Type System for Safe Concurrency

Silent Bugs Matter: A Study of Compiler-Introduced Security Bugs

MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL

Dynamic Linkers Are the Narrow Waist of Operating Systems

Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

An Integrated Approach to Designing Robust Turbocompressors on Gas Bearings Through Surrogate Modeling and Constrained Multi-Objective Optimization

WarpAttack: Bypassing CFI through Compiler-Introduced Double-Fetches

Efficient Concurrent Analytical Query Processing using Data and Workload-conscious Sharing

Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations

Beyond Spectral Gap: The Role of the Topology in Decentralized Learning