Fadi J. Kurdahi

Bio: Fadi J. Kurdahi is an academic researcher from University of California, Irvine. The author has contributed to research in topics: High-level synthesis & Reconfigurable computing. The author has an hindex of 35, co-authored 271 publications receiving 5008 citations. Previous affiliations of Fadi J. Kurdahi include Morpho & Wilmington University.

MorphoSys: an integrated reconfigurable system for data-parallel and computation-intensive applications

Abstract: This paper introduces MorphoSys, a reconfigurable computing system developed to investigate the effectiveness of combining reconfigurable hardware with general-purpose processors for word-level, computation-intensive applications. MorphoSys is a coarse-grain, integrated, and reconfigurable system-on-chip, targeted at high-throughput and data-parallel applications. It is comprised of a reconfigurable array of processing cells, a modified RISC processor core, and an efficient memory interface unit. This paper describes the MorphoSys architecture, including the reconfigurable processor array, the control processor, and data and configuration memories. The suitability of MorphoSys for the target application domain is then illustrated with examples such as video compression, data encryption and target recognition. Performance evaluation of these applications indicates improvements of up to an order of magnitude (or more) on MorphoSys, in comparison with other systems.

REAL: A Program for REgister ALlocation

Abstract: This paper describes the REAL REgister ALlocation program. REAL uses a track assignment algorithm taken from channel routing called the Left Edge algorithm. REAL is optimal for non-pipelined designs with no conditional branches. It is thought that REAL is also optimal for designs with conditional branches, pipelined or not. Experimental results are included in the report, which illustrate the optimal solutions found by REAL. REAL is part of the ADAM Advanced Design AutoMation system, and will be used to process designs output from MAHA and Sehwa.

Design and Implementation of the MorphoSys Reconfigurable ComputingProcessor

Abstract: In this paper, we describe the implementation of MorphoSys, a reconfigurable processing system targeted at data-parallel and computation-intensive applications. The MorphoSys architecture consists of a reconfigurable component (an array of reconfigurable cells) combined with a RISC control processor and a high bandwidth memory interface. We briefly discuss the system-level model, array architecture, and control processor. Next, we present the detailed design implementation and the various aspects of physical layout of different sub-blocks of MorphoSys. The physical layout was constrained for 100 MHz operation, with low power consumption, and was implemented using 0.35 μm, four metal layer CMOS (3.3 Volts) technology. We provide simulation results for the MorphoSys architecture (based on VHDL model) for some typical data-parallel applications (video compression and automatic target recognition). The results indicate that the MorphoSys system can achieve significantly better performance for most of these applications in comparison with other systems and processors.

Techniques for area estimation of VLSI layouts

Abstract: The standard cell design style is investigated. Two probabilistic models are presented. The first model estimates the wiring space requirements in the routing channels between the cell rows. The second model estimates the number of feedthroughs that must be inserted in the cell rows to interconnect cells placed several rows apart. These models were implemented in the standard cell area estimation program PLEST (PLotting ESTimator). PLEST was used to estimate the areas of a set of 12 standard cell chips. In all cases, the estimates were accurate to within 10% of the actual areas. PLEST's estimation of a chip layout area takes only a few seconds to produce, as compared with more than 10 h to generate the chip layout itself using an industrial layout system. >

Power-aware scheduling under timing constraints for mission-critical embedded systems

Abstract: Power-aware systems are those that must make the best use of available power. They subsume traditional low-power systems in that they must not only minimize power when the budget is low, but also deliver high performance when required. This paper presents a new scheduling technique for supporting the design and evaluation of a class of power-aware systems in mission-critical applications. It satisfies stringent min/max timing and max power constraints. It also makes the best effort to satisfy the min power constraint in an attempt to fully utilize free power or to control power jitter. Experimental results show that our scheduler can improve performance and reduce energy cost simultaneously compared to hand-crafted designs for previous missions. This tool forms the basis of the IMPACCT system-level framework that will enable designers to explore many power-performance trade-offs with confidence.

[서평]「Applied Cryptography」

Abstract: The objective of this paper is to give a comprehensive introduction to applied cryptography with an engineer or computer scientist in mind. The emphasis is on the knowledge needed to create practical systems which supports integrity, confidentiality, or authenticity. Topics covered includes an introduction to the concepts in cryptography, attacks against cryptographic systems, key use and handling, random bit generation, encryption modes, and message authentication codes. Recommendations on algorithms and further reading is given in the end of the paper. This paper should make the reader able to build, understand and evaluate system descriptions and designs based on the cryptographic components described in the paper.

High-Level Synthesis for FPGAs: From Prototyping to Deployment

Abstract: Escalating system-on-chip design complexity is pushing the design community to raise the level of abstraction beyond register transfer level. Despite the unsuccessful adoptions of early generations of commercial high-level synthesis (HLS) systems, we believe that the tipping point for transitioning to HLS msystem-on-chip design complexityethodology is happening now, especially for field-programmable gate array (FPGA) designs. The latest generation of HLS tools has made significant progress in providing wide language coverage and robust compilation technology, platform-based modeling, advancement in core HLS algorithms, and a domain-specific approach. In this paper, we use AutoESL's AutoPilot HLS tool coupled with domain-specific system-level implementation platforms developed by Xilinx as an example to demonstrate the effectiveness of state-of-art C-to-FPGA synthesis solutions targeting multiple application domains. Complex industrial designs targeting Xilinx FPGAs are also presented as case studies, including comparison of HLS solutions versus optimized manual designs. In particular, the experiment on a sphere decoder shows that the HLS solution can achieve an 11-31% reduction in FPGA resource usage with improved design productivity compared to hand-coded design.