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Akram Ben Ahmed

Publications and source records attributed to Akram Ben Ahmed.

3 recordsLinked to original sources

VolTune: A Fine-Grained Runtime Voltage Control Architecture for FPGA Systems

The rapid emergence of edge computing platforms and large-scale data centers has made power efficiency a primary design constraint, particularly for data-intensive and AI-driven workloads. Field-programmable gate arrays (FPGAs) are increasingly adopted due to their flexibility and potential for energy-efficient acceleration. However, FPGA supply voltages are typically fixed at design time using conservative margins, limiting the ability to adapt power consumption to runtime conditions. This paper presents VolTune, an open-source runtime voltage control architecture that enables runtime tuning of FPGA supply voltages through FPGA-integrated control logic that abstracts low-level PMBus operations. VolTune provides both hardware-based and software-based control paths, allowing designers to balance deterministic low-latency operation against programmability. In the presented prototype, the hardware-based control path achieves a measured end-to-end voltage transition latency of 2.3 ms, while the controller adds under 2% static power overhead and under 2% FPGA resource overhead. As a representative case study, VolTune is evaluated on the GTX transceiver supply rail of a Kintex-7 platform. The results show that runtime voltage tuning exposes a bounded operating region with clear trade-offs between energy efficiency and reliability, and achieves up to approximately 29.3% rail-power reduction at 10.0 Gbps when allowing BER up to 10e-6. These results show that FPGA-integrated runtime voltage control can provide practical energy savings with low integration overhead.

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METICULOUS: An FPGA-based Main Memory Emulator for System Software Studies

Due to the scaling problem of the DRAM technology, non-volatile memory devices, which are based on different principle of operation than DRAM, are now being intensively developed to expand the main memory of computers. Disaggregated memory is also drawing attention as an emerging technology to scale up the main memory. Although system software studies need to discuss management mechanisms for the new main memory designs incorporating such emerging memory systems, there are no feasible memory emulation mechanisms that efficiently work for large-scale, privileged programs such as operating systems and hypervisors. In this paper, we propose an FPGA-based main memory emulator for system software studies on new main memory systems. It can emulate the main memory incorporating multiple memory regions with different performance characteristics. For the address region of each memory device, it emulates the latencies, bandwidths and bit-flip error rates of read/write operations, respectively. The emulator is implemented at the hardware module of an off-the-self FPGA System-on-Chip board. Any privileged/unprivileged software programs running on its powerful 64-bit CPU cores can access emulated main memory devices at a practical speed through the exactly same interface as normal DRAM main memory. We confirmed that the emulator transparently worked for CPU cores and successfully changed the performance of a memory region according to given emulation parameters; for example, the latencies measured by CPU cores were exactly proportional to the latencies inserted by the emulator, involving the minimum overhead of approximately 240 ns. As a preliminary use case, we confirmed that the emulator allows us to change the bandwidth limit and the inserted latency individually for unmodified software programs, making discussions on latency sensitivity much easier.

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Report on power, thermal and reliability prediction for 3D Networks-on-Chip

By combining Three Dimensional Integrated Circuits with the Network-on-Chip infrastructure to obtain 3D Networks-on-Chip (3D-NoCs), the new on-chip communication paradigm brings several advantages on lower power, smaller footprint and lower latency. However, thermal dissipation is one of the most critical challenges for 3D-ICs where the heat cannot easily transfer through several layers of silicon. Consequently, the high-temperature area also confronts the reliability threat as the Mean Time to Failure (MTTF) decreases exponentially with the operating temperature. Apparently, 3D-NoCs must tackle this fundamental problem in order to be widely used. Therefore, in this work, we investigate the thermal distribution and reliability prediction of 3D-NoCs. We first present a new method to help simulate the temperature (both steady and transient) using traffics value from realistic and synthetic benchmarks and the power consumption from standard VLSI design flow. Then, based on the proposed method, we further predict the relative reliability between different parts of the network. Experimental results show that the method has an extremely fast execution time in comparison to the acceleration lifetime test. Furthermore, we compare the thermal behavior and reliability between Monolithic design and TSV-based TSV. We also explorer the ability to implement the thermal via a mechanism to help reduce the operating temperature.

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