TY - GEN AU - Riebler, Heinrich ID - 521 KW - coldboot TI - Identifikation und Wiederherstellung von kryptographischen Schlüsseln mit FPGAs ER - TY - CONF AB - Cold-boot attacks exploit the fact that DRAM contents are not immediately lost when a PC is powered off. Instead the contents decay rather slowly, in particular if the DRAM chips are cooled to low temperatures. This effect opens an attack vector on cryptographic applications that keep decrypted keys in DRAM. An attacker with access to the target computer can reboot it or remove the RAM modules and quickly copy the RAM contents to non-volatile memory. By exploiting the known cryptographic structure of the cipher and layout of the key data in memory, in our application an AES key schedule with redundancy, the resulting memory image can be searched for sections that could correspond to decayed cryptographic keys; then, the attacker can attempt to reconstruct the original key. However, the runtime of these algorithms grows rapidly with increasing memory image size, error rate and complexity of the bit error model, which limits the practicability of the approach.In this work, we study how the algorithm for key search can be accelerated with custom computing machines. We present an FPGA-based architecture on a Maxeler dataflow computing system that outperforms a software implementation up to 205x, which significantly improves the practicability of cold-attacks against AES. AU - Riebler, Heinrich AU - Kenter, Tobias AU - Sorge, Christoph AU - Plessl, Christian ID - 528 KW - coldboot T2 - Proceedings of the International Conference on Field-Programmable Technology (FPT) TI - FPGA-accelerated Key Search for Cold-Boot Attacks against AES ER - TY - CONF AB - In this paper we introduce “On-The-Fly Computing”, our vision of future IT services that will be provided by assembling modular software components available on world-wide markets. After suitable components have been found, they are automatically integrated, configured and brought to execution in an On-The-Fly Compute Center. We envision that these future compute centers will continue to leverage three current trends in large scale computing which are an increasing amount of parallel processing, a trend to use heterogeneous computing resources, and—in the light of rising energy cost—energy-efficiency as a primary goal in the design and operation of computing systems. In this paper, we point out three research challenges and our current work in these areas. AU - Happe, Markus AU - Kling, Peter AU - Plessl, Christian AU - Platzner, Marco AU - Meyer auf der Heide, Friedhelm ID - 505 T2 - Proceedings of the 9th IEEE Workshop on Software Technology for Future embedded and Ubiquitous Systems (SEUS) TI - On-The-Fly Computing: A Novel Paradigm for Individualized IT Services ER - TY - CONF AU - Suess, Tim AU - Schoenrock, Andrew AU - Meisner, Sebastian AU - Plessl, Christian ID - 1787 SN - 978-0-7695-4979-8 T2 - Proc. Int. Symp. on Parallel and Distributed Processing Workshops (IPDPSW) TI - Parallel Macro Pipelining on the Intel SCC Many-Core Computer ER - TY - CONF AU - Grunzke, Richard AU - Birkenheuer, Georg AU - Blunk, Dirk AU - Breuers, Sebastian AU - Brinkmann, André AU - Gesing, Sandra AU - Herres-Pawlis, Sonja AU - Kohlbacher, Oliver AU - Krüger, Jens AU - Kruse, Martin AU - Müller-Pfefferkorn, Ralph AU - Schäfer, Patrick AU - Schuller, Bernd AU - Steinke, Thomas AU - Zink, Andreas ID - 2107 T2 - Proc. UNICORE Summit TI - A Data Driven Science Gateway for Computational Workflows ER - TY - GEN AU - Plessl, Christian AU - Platzner, Marco AU - Agne, Andreas AU - Happe, Markus AU - Lübbers, Enno ID - 587 TI - Programming models for reconfigurable heterogeneous multi-cores ER - TY - CONF AB - Although the benefits of FPGAs for accelerating scientific codes are widely acknowledged, the use of FPGA accelerators in scientific computing is not widespread because reaping these benefits requires knowledge of hardware design methods and tools that is typically not available with domain scientists. A promising but hardly investigated approach is to develop tool flows that keep the common languages for scientific code (C,C++, and Fortran) and allow the developer to augment the source code with OpenMPlike directives for instructing the compiler which parts of the application shall be offloaded the FPGA accelerator. In this work we study whether the promise of effective FPGA acceleration with an OpenMP-like programming effort can actually be held. Our target system is the Convey HC-1 reconfigurable computer for which an OpenMP-like programming environment exists. As case study we use an application from computational nanophotonics. Our results show that a developer without previous FPGA experience could create an FPGA-accelerated application that is competitive to an optimized OpenMP-parallelized CPU version running on a two socket quad-core server. Finally, we discuss our experiences with this tool flow and the Convey HC-1 from a productivity and economic point of view. AU - Meyer, Björn AU - Schumacher, Jörn AU - Plessl, Christian AU - Förstner, Jens ID - 2106 KW - funding-upb-forschungspreis KW - funding-maxup KW - tet_topic_hpc T2 - Proc. Int. Conf. on Field Programmable Logic and Applications (FPL) TI - Convey Vector Personalities – FPGA Acceleration with an OpenMP-like Effort? ER - TY - JOUR AU - Schumacher, Tobias AU - Plessl, Christian AU - Platzner, Marco ID - 2108 IS - 2 JF - Microprocessors and Microsystems KW - funding-altera SN - 0141-9331 TI - IMORC: An Infrastructure and Architecture Template for Implementing High-Performance Reconfigurable FPGA Accelerators VL - 36 ER - TY - CONF AB - Due to the continuously shrinking device structures and increasing densities of FPGAs, thermal aspects have become the new focus for many research projects over the last years. Most researchers rely on temperature simulations to evaluate their novel thermal management techniques. However, the accuracy of the simulations is to some extent questionable and they require a high computational effort if a detailed thermal model is used.For experimental evaluation of real-world temperature management methods, often synthetic heat sources are employed. Therefore, in this paper we investigated the question if we can create significant rises in temperature on modern FPGAs to enable future evaluation of thermal management techniques based on experiments in contrast to simulations. Therefore, we have developed eight different heat-generating cores that use different subsets of the FPGA resources. Our experimental results show that, according to the built-in thermal diode of our Xilinx Virtex-5 FPGA, we can increase the chip temperature by 134 degree C in less than 12 minutes by only utilizing about 21% of the slices. AU - Happe, Markus AU - Hangmann, Hendrik AU - Agne, Andreas AU - Plessl, Christian ID - 615 T2 - Proceedings of the International Conference on Reconfigurable Computing and FPGAs (ReConFig) TI - Eight Ways to put your FPGA on Fire – A Systematic Study of Heat Generators ER - TY - CONF AB - One major obstacle for a wide spread FPGA usage in general-purpose computing is the development tool flow that requires much higher effort than for pure software solutions. Convey Computer promises a solution to this problem for their HC-1 platform, where the FPGAs are configured to run as a vector processor and the software source code can be annotated with pragmas that guide an automated vectorization process. We investigate this approach for a stereo matching algorithm that has abundant parallelism and a number of different computational patterns. We note that for this case study the automated vectorization in its current state doesn’t hold its productivity promise. However, we also show that using the Vector Personality can yield a significant speedups compared to CPU implementations in two of three investigated phases of the algorithm. Those speedups don’t match custom FPGA implementations, but can come with much reduced development effort. AU - Kenter, Tobias AU - Plessl, Christian AU - Schmitz, Henning ID - 591 T2 - Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig) TI - Pragma based parallelization - Trading hardware efficiency for ease of use? ER -