John Samuel Liberty

A streaming processing unit for a CELL processor

The design of a 4-way SIMD streaming data processor emphasizes achievable performance in area and power. Software controls data movement and instruction flow, and improves data bandwidth and pipeline utilization. The micro-architecture minimizes instruction latency and provides fine-grain clock control to reduce power.

The microarchitecture of the synergistic processor for a cell processor

This paper describes an 11 FO4 streaming data processor in the IBM 90-nm SOI-low-k process. The dual-issue, four-way SIMD processor emphasizes achievable performance per area and power. Software controls most aspects of data movement and instruction flow to improve memory system performance and core performance density. The design minimizes instruction latency while providing for fine grain clock control to reduce power.

A Resonant Global Clock Distribution for the Cell Broadband-Engine Processor

Resonant clock distributions have the potential to save power by recycling energy from cycle-to-cycle while at the same time improving performance by reducing the clock distribution latency and filtering out non-periodic noise. While these features have been successfully demonstrated in several small-scale experiments, there remained a number of concerns about whether these techniques would scale to a product application. By modifying the Cell broadband engine processor to incorporate a large resonant global clock network, power savings with full functionality is demonstrated over a 20% range in clock frequencies, and a 6-8 Watt power savings at 4 GHz. This was achieved by changing one wiring level and adding an additional thick copper level to create inductors and capacitors.

A Resonant Global Clock Distribution for the Cell Broadband Engine Processor

Resonant clocking techniques show promise in reducing global clock power and timing uncertainty (skew and jitter). By resonating the large global clock capacitance with an inductance, the energy used to charge the clock node each period can be recycled within the LC tank network, resulting in lower clock power. Additional power savings are realized by reducing the strength of clock drivers because only losses need to be overcome at resonance. Skew and jitter are improved due to the bandpass characteristic of the LC network and the use of fewer clock buffering stages. We describe how the Cell Broadband Engine (Cell BE) processor is experimentally transformed to have a resonant-load global clock distribution similar to the one in (Chan et al., 2004).

Microarchitecture and implementation of the synergistic processor in 65-nm and 90-nm SOI

This paper describes the architecture and implementation of the original gaming-oriented synergistic processor element (SPE) in both 90-nm and 65-nm silicon-on-insulator (SOI) technology and introduces a new SPE implementation targeted for the high-performance computing community. The Cell Broadband Engine™ processor contains eight SPEs. The dual-issue, four-way single-instruction multiple-data processor is designed to achieve high performance per area and power and is optimized to process streaming data, simulate physical phenomena, and render objects digitally. Most aspects of data movement and instruction flow are controlled by software to improve the performance of the memory system and the core performance density. The SPE was designed as an 11-F04 (fan-out-of-4-inverter-delay) processor using 20.9 million transistors within 14.8 mm 2 using the IBM 90-nm SOI low-k process. CMOS (complementary metal-oxide semiconductor) static gates implement the majority of the logic. Dynamic circuits are used in critical areas and occupy 19% of the non-static random access memory (SRAM) area. Instruction set architecture, microarchitecture, and physical implementation are tightly coupled to achieve a compact and power-efficient design. Correct operation has been observed at up to 5.6 GHz and 7.3 GHz, respectively, in 90-nm and 65-nm SOI technology.

True hardware random number generation implemented in the 32-nm SOI POWER7+ processor

This paper provides a description of the hardware random number generator that is implemented on the IBM POWER7+™ processor. We discuss the underlying mechanism using basic ring oscillator circuits implemented in standard digital logic circuits. The source of entropy is based on sampling phase jitter in the ring oscillators, and the rate of phase jitter accumulation is measured. We show that the design is simple and robust yet able to generate a high rate of random bits while using a minimum of logic area. The design is very resistant to physical manipulation, being able to produce solid entropy values under environmental conditions that exceed the requirements of the surrounding circuitry. With a design-specific mechanism to correct for ring oscillator sample bias, the output shows a very high rate of entropy, which is validated.

Distributed On-chip Power Supply Noise Characterization of the Cell Broadband Engine

Noise characterization of the 65 nm multicore Cell Broadband Enginetrade (Cell/B.E.)* processor was performed using highly configurable workloads and selective stimulation of identical cores to study noise distribution throughout the chip. On-chip power supply noise propagation velocity and attenuation were found to be influenced by chip/package resonance in the power distribution system. Hypothesis for this phenomenon is proposed.