Upcoming events

The Server-to-Server Landscape: Insights, Opportunities, and Challenges

Balakrishnan Chandrasekaran
MPI-INF - D3
Joint Lecture Series
03 Apr 2019, 12:15 pm - 1:15 pm
Saarbrücken building E1 5, room 002
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Worst-Case Execution Time Guarantees for Runtime-Reconfigurable Architectures

Marvin Damschen
Karlsruhe Institute of Technology
SWS Colloquium
04 Apr 2019, 2:00 pm - 3:00 pm
Kaiserslautern building G26, room 111
simultaneous videocast to Saarbrücken building E1 5, room 029
Real-time embedded systems need to be analyzable for execution time guarantees. Despite significant scientific advances, however, timing analysis lags years behind current microarchitectures with out-of-order scheduling pipelines, several hardware threads and multiple (shared)cache layers. To satisfy the increasing demand for predictable performance, analyzable performance features are required. We introduce runtime-reconfigurable instruction set processors as one way to escape the scarcity of analyzable performance features while preserving the flexibility of the system. To this end, we first present a reconfiguration controller for guaranteed reconfiguration delays of accelerators onto an FPGA. We propose a novel timing analysis approach to obtain worst-case execution time (WCET) guarantees for applications that utilize runtime-reconfigurable custom instructions (CIs), which each utilize one or more accelerators. Given the constrained reconfigurable area of an FPGA, we solve the problem of selecting CIs for each computational kernel of an application to optimize its worst-case execution time. Finally, we show that runtime reconfiguration provides the unique feature of optimized static WCET guarantees and optimization of the average-case execution time (maintaining statically-given WCET guarantees) by repurposing reconfigurable area for different selections of CIs at runtime.

Programming Abstractions for Verifiable Software

Damien Zufferey
Max Planck Institute for Software Systems
Joint Lecture Series
15 May 2019, 12:15 pm - 1:15 pm
Saarbrücken building E1 5, room 002
In this talk, I will show how we can harness the synergy between programming languages and verification methods to help programmers build reliable software. First, we will look at fault-tolerant distributed algorithms. These algorithms are central to any high-availability application but they are notoriously difficult to implement due to asynchronous communication and faults. A fault- tolerant consensus algorithms which can be described in ~50 lines of pseudo code can easily turns into a few thousand lines of actual code. To remediate this, I will introduce PSync a domain specific language for fault-tolerant distributed algorithms. The key insight is the use of communication-closure (logical boundaries in a program that messages should not cross) to structure the code. Communication-closure gives a syntactic scope to the communication, provides some form of logical time, and give the illusion of synchrony. These element greatly simplify the programming and verification of fault-tolerant algorithms. In the second part of the talk, we will discuss a new project exploring how advances in rapid prototyping (3D printers) may impact how we develop software for robots. These advances may soon be enable adding computational elements as part of the internal structure of objects. The goal of this project is to rethink the software/hardware boundary and integrate the two together. I will present a system we are developing where components integrate for geometry (hardware) and behavior (software). The system allows from bottom-up composition and top-down decomposition. The bottom-up composition connects components together to achieve more complex behaviors. The top-down decomposition project a global specification on the individual components and performs verification at the level of individual components.

Bridging the Performance Gap in Digital Geometry Processing

Rhaleb Zayer
MPI-INF - D4
Joint Lecture Series
05 Jun 2019, 12:15 pm - 1:15 pm
Saarbrücken building E1 5, room 002
As the computing landscape is being reshaped by the dramatic shift towards ubiquitous parallelism, and by the sheer scale of data, extracting performance from existing applications gives rise to formidable challenges. In digital geometry processing, the problem gets amplified by data irregularity (e.g. meshes) and the predominately serial nature of traditional algorithmic solutions.  As a results the gap between the high performance promise of modern hardware and the actual performance seems to grow wider.

In this talk, I will discuss the impact of data structures and problem abstraction on performance. In particular, I will outline how high performance can be gained through a lean data representation which allows channeling parallelism through linear algebra kernels regardless of the underlying granularity. I will illustrate the impact of problem abstraction on challenging and far reaching scenarios including Voronoi diagrams (VD)/centroidal Voronoi tessellations (CVT) on surface meshes, subdivision surfaces, as well as matrix assembly in finite element analysis.

The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security

Mario Fritz
CISPA
Joint Lecture Series
03 Jul 2019, 12:15 pm - 1:15 pm
Saarbrücken building E1 5, room 002
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