Direct Inter-Process Communication (dIPC): Repurposing the CODOMs architecture to accelerate IPC

In current architectures, page tables are the fundamental mechanism that allows contemporary OSs to isolate user processes, binding each thread to a specific page table. A thread cannot therefore directly call another process's function or access its data; instead, the OS kernel provides data communication primitives and mediates process synchronization through inter-process communication (IPC) channels, which impede system performance. Alternatively, the recently proposed CODOMs architecture provides memory protection across software modules. Threads can cross module protection boundaries inside the same process using simple procedure calls, while preserving memory isolation. We present dIPC (for "direct IPC"), an OS extension that repurposes and extends the CODOMs architecture to allow threads to cross process boundaries. It maps processes into a shared address space, and eliminates the OS kernel from the critical path of inter-process communication. dIPC is 64.12× faster than local remote procedure calls (RPCs), and 8.87× faster than IPC in the L4 microkernel. We show that applying dIPC to a multi-tier OLTP web server improves performance by up to 5.12× (2.13× on average), and reaches over 94% of the ideal system efficiency.We thank Diego Marr´on for helping with MariaDB, the anonymous reviewers for their feedback and, especially, Andrew Baumann for helping us improve the paper. This research was partially funded by HiPEAC through a collaboration grant for Lluís Vilanova (agreement number 687698 for the EU’s Horizon2020 research and innovation programme), the Israel Science Fundation (ISF grant 769/12) and the Israeli Ministry of Science, Technology and Space.Peer ReviewedPostprint (author's final draft

A many-analysts approach to the relation between religiosity and well-being

The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N=10,535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported β=0.120). For the second research question, this was the case for 65% of the teams (median reported β=0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates

A Many-analysts Approach to the Relation Between Religiosity and Well-being

The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N = 10, 535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported β = 0.120). For the second research question, this was the case for 65% of the teams (median reported β = 0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates

Por Don Iuan de Castellui curador de Don Tomas de Castelluí y Vilanoua Conde de Castella, olim lugar de Quesa, y Señor de las Baronias de Bicorp, y Benedriz, y Casa de Valencia. Con Don Luis de Vilanoua

Precedeix al tít.: IHSSignat a la fi pel Doctor Braulio EsteuanErrates tip. a la folSign.: A-Z2, Aa

Direct Inter-Process Communication (dIPC): Repurposing the CODOMs architecture to accelerate IPC

In current architectures, page tables are the fundamental mechanism that allows contemporary OSs to isolate user processes, binding each thread to a specific page table. A thread cannot therefore directly call another process's function or access its data; instead, the OS kernel provides data communication primitives and mediates process synchronization through inter-process communication (IPC) channels, which impede system performance. Alternatively, the recently proposed CODOMs architecture provides memory protection across software modules. Threads can cross module protection boundaries inside the same process using simple procedure calls, while preserving memory isolation. We present dIPC (for "direct IPC"), an OS extension that repurposes and extends the CODOMs architecture to allow threads to cross process boundaries. It maps processes into a shared address space, and eliminates the OS kernel from the critical path of inter-process communication. dIPC is 64.12× faster than local remote procedure calls (RPCs), and 8.87× faster than IPC in the L4 microkernel. We show that applying dIPC to a multi-tier OLTP web server improves performance by up to 5.12× (2.13× on average), and reaches over 94% of the ideal system efficiency.We thank Diego Marr´on for helping with MariaDB, the anonymous reviewers for their feedback and, especially, Andrew Baumann for helping us improve the paper. This research was partially funded by HiPEAC through a collaboration grant for Lluís Vilanova (agreement number 687698 for the EU’s Horizon2020 research and innovation programme), the Israel Science Fundation (ISF grant 769/12) and the Israeli Ministry of Science, Technology and Space.Peer Reviewe

Predictive runtime code scheduling for heterogeneous architectures

Heterogeneous architectures are currently widespread. With the advent of easy-to-program general purpose GPUs, virtually every re- cent desktop computer is a heterogeneous system. Combining the CPU and the GPU brings great amounts of processing power. However, such architectures are often used in a restricted way for domain-speci c appli- cations like scienti c applications and games, and they tend to be used by a single application at a time. We envision future heterogeneous com- puting systems where all their heterogeneous resources are continuously utilized by di erent applications with versioned critical parts to be able to better adapt their behavior and improve execution time, power con- sumption, response time and other constraints at runtime. Under such a model, adaptive scheduling becomes a critical component. In this paper, we propose a novel predictive user-level scheduler based on past performance history for heterogeneous systems. We developed sev- eral scheduling policies and present the study of their impact on system performance. We demonstrate that such scheduler allows multiple appli- cations to fully utilize all available processing resources in CPU/GPU- like systems and consistently achieve speedups ranging from 30% to 40% compared to just using the GPU in a single application mode