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Seungwook Paek,Wongyu Shin,Jaehyeong Sim,Lee-Sup Kim IEEE 2013 IEEE transactions on computer-aided design of inte Vol.32 No.10
<P>Temperature-to-power technique is useful for post-silicon power model validation. However, the previous works were applicable only to the steady-state analysis. In this paper, we propose a new temperature-to-power technique, named PowerField, supporting both transient and steady-state analysis based on a probabilistic approach. Unlike the previous works, PowerField uses two consecutive thermal images to find the most feasible power distribution that causes the change between the two input images. To obtain the power map with the highest probability, we adopted maximum a posteriori Markov random field (MAP-MRF). For MAP-MRF framework, we modeled the spatial thermal system as a set of thermal nodes and derived an approximated transient heat transfer equation that requires only the local information of each thermal node. Experimental results with a thermal simulator show that PowerField outperforms the previous method in transient analysis reducing the error by half on average. We also show that our framework works well for steady-state analysis by using two identical steady-state thermal maps as inputs. Lastly, an application to determining the binary power patterns of an FPGA device is presented achieving 90.7% average accuracy.</P>
Hybrid Temperature Sensor Network for Area-Efficient On-Chip Thermal Map Sensing
Seungwook Paek,Wongyu Shin,Jaeyoung Lee,Hyo-Eun Kim,Jun-Seok Park,Lee-Sup Kim IEEE 2015 IEEE journal of solid-state circuits Vol.50 No.2
<P>Spatial thermal distribution of a chip is an essential information for dynamic thermal management. To get a rich thermal map, the sensor area is required to be reduced radically. However, squeezing the sensor size is about to face its physical limitation. In this background, we propose an area-efficient thermal sensing technique: hybrid temperature sensor network. The proposed sensor architecture fully exploits the spatial low-pass filtering effect of thermal systems, which implies that most of the thermal information resides in very low spatial frequency region. Our on-chip sensor network consists of a small number of accurate thermal sensors and a large number of tiny relative thermal sensors, responsible for low and high spatial frequency thermal information respectively. By combining these sensor readouts, a thermal map upsampler synthesizes a higher spatial resolution thermal map with a proposed guided upsampling algorithm.</P>
Efficient Kernel Integrity Monitor Design for Commodity Mobile Application Processors
Heo, Ingoo,Jang, Daehee,Moon, Hyungon,Cho, Hansu,Lee, Seungwook,Kang, Brent Byunghoon,Paek, Yunheung The Institute of Electronics and Information Engin 2015 Journal of semiconductor technology and science Vol.15 No.1
In recent years, there are increasing threats of rootkits that undermine the integrity of a system by manipulating OS kernel. To cope with the rootkits, in Vigilare, the snoop-based monitoring which snoops the memory traffics of the host system was proposed. Although the previous work shows its detection capability and negligible performance loss, the problem is that the proposed design is not acceptable in recent commodity mobile application processors (APs) which have become de facto the standard computing platforms of smart devices. To mend this problem and adopt the idea of snoop-based monitoring in commercial products, in this paper, we propose a snoop-based monitor design called S-Mon, which is designed for the AP platforms. In designing S-Mon, we especially consider two design constraints in the APs which were not addressed in Vigilare; the unified memory model and the crossbar switch interconnect. Taking into account those, we derive a more realistic architecture for the snoop-based monitoring and a new hardware module, called the region controller, is also proposed. In our experiments on a simulation framework modeling a productionquality device, it is shown that our S-Mon can detect the rootkit attacks while the runtime overhead is also negligible.
Young-Jun Kim,Hyo-Eun Kim,Seok-Hoon Kim,Jun-Seok Park,Seungwook Paek,Lee-Sup Kim IEEE 2012 IEEE transactions on very large scale integration Vol.20 No.9
<P>We embed special function units (SFUs) in homogeneous stream processors (SPs) within a graphics processing unit (GPU), to improve its performance in running modern programmable shaders, which make poor use of a single-instruction multiple-data (SIMD) architecture. We also compact instructions, so as to reduce the size of the instruction memory, and reduce area requirements by using a partial SFU in SPs, and a lookup table which is shared between multiple SFUs. The result is an increase of 88% in utilization and a reduction in the normalized area-delay product of 27%, compared to a baseline SIMD architecture. We verified our architecture on an field-programmable gate-array evaluation platform with an ARM9 host processor and a full 3-D graphics pipeline.</P>
Efficient Kernel Integrity Monitor Design for Commodity Mobile Application Processors
Ingoo Heo,Daehee Jang,Hyungon Moon,Hansu Cho,Seungwook Lee,Brent Byunghoon Kang,Yunheung Paek 대한전자공학회 2015 Journal of semiconductor technology and science Vol.15 No.1
In recent years, there are increasing threats of rootkits that undermine the integrity of a system by manipulating OS kernel. To cope with the rootkits, in Vigilare, the snoop-based monitoring which snoops the memory traffics of the host system was proposed. Although the previous work shows its detection capability and negligible performance loss, the problem is that the proposed design is not acceptable in recent commodity mobile application processors (APs) which have become de facto the standard computing platforms of smart devices. To mend this problem and adopt the idea of snoop-based monitoring in commercial products, in this paper, we propose a snoop-based monitor design called S-Mon, which is designed for the AP platforms. In designing S-Mon, we especially consider two design constraints in the APs which were not addressed in Vigilare; the unified memory model and the crossbar switch interconnect. Taking into account those, we derive a more realistic architecture for the snoop-based monitoring and a new hardware module, called the region controller, is also proposed. In our experiments on a simulation framework modeling a production-quality device, it is shown that our S-Mon can detect the rootkit attacks while the runtime overhead is also negligible.