Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Steve Lipa is active.

Publication


Featured researches published by Steve Lipa.


design automation conference | 2008

Design and CAD for 3D integrated circuits

Paul D. Franzon; W. Rhett Davis; Michael B. Steer; Steve Lipa; Eun Chu Oh; Thorlindur Thorolfsson; Samson Melamed; Sonali Luniya; Tad Doxsee; Stephen Berkeley; Ben Shani; Kurt Obermiller

High density through silicon vias (TSV) can be used to build 3DICs that enable unique applications in computing, signal processing and memory intensive systems. This paper presents several case studies that are uniquely enhanced through 3D implementation, including a 3D CAM, an FFT processor, and a SAR processor. The CAD flow used to implement for these designs is described. 3DIC requires higher fidelity thermal modeling than 2DIC design. The rationale for this requirement is established and a possible solution is presented.


international symposium on electromagnetic compatibility | 2004

Simultaneous switching noise in IBIS models

Ambrish Varma; Steve Lipa; Alan Glaser; Michael B. Steer; Paul D. Franzon

In this paper, a tool to convert SPICE netlists to IBIS (Input/Output Buffer Information Specification) models is presented This tool simulates the netlist on a user-desirable SPICE engine and produces both static and dynamic characteristics of the IBIS model. A CMOS driver circuit is simulated in HSPICE and compared with an equivalent circuit created with IBIS models of the same drivers. Outputs from the drivers are compared IBIS models are also compared against macro-models of nonlinear digital drivers using spline functions with finite time difference approximation modeling techniques.


international conference on computer design | 2013

Rationale for a 3D heterogeneous multi-core processor

Eric Rotenberg; Brandon H. Dwiel; Elliott Forbes; Zhenqian Zhang; Randy Widialaksono; Rangeen Basu Roy Chowdhury; Nyunyi M. Tshibangu; Steve Lipa; W. Rhett Davis; Paul D. Franzon

Single-ISA heterogeneous multi-core processors are comprised of multiple core types that are functionally equivalent but microarchitecturally diverse. This paradigm has gained a lot of attention as a way to optimize performance and energy. As the instruction-level behavior of the currently executing program varies, it is migrated to the most efficient core type for that behavior.


ieee multi chip module conference | 1996

Issues in partitioning integrated circuits for MCM-D/flip-chip technology

Sanjeev Banerjia; Alan Glaser; Christoforos Harvatis; Steve Lipa; Real Pomerleau; Toby Schaffer; Andrew Stanaski; Yusuf Tekmen; Grif Bilbro; Paul D. Franzon

In order to successfully partition a high performance large monolithic chip onto MCM-D/flip-chip-solder-bump technology, a number of key issues must be addressed. These include the following: (1) Partitioning a single clock-cycle path across the chip boundary within using; (2) Ability to use off-the-shelf memories; (3) Using the MCM for power, ground, and clock distribution; and (4) Managing test costs. This paper presents a discussion on these issues, using a CPU as an example, and speculates on some interesting possibilities arising from partitioning.


custom integrated circuits conference | 2012

A 10.35 mW/GFlop stacked SAR DSP unit using fine-grain partitioned 3D integration

Thorlindur Thorolfsson; Steve Lipa; Paul D. Franzon

In this paper we present a technique for implementing a fine-grain partitioned three-dimensional SAR DSP system using 3D placement of standard cells where only one of the 3D tiers is clocked to reduce clock power. We show how this technique was used to build the first fine-grain partitioned 3D integrated system to be demonstrated with silicon measurements in the literature, which is an ultra efficient floating-point synthetic aperture radar (SAR) DSP processing unit. The processing unit was fabricated in two tiers of GlobalFoundries, 1.5 V 130nm process that were 3D stacked face-to-face by Tezzaron. After fabrication the test chip was measured to consume 4.14 mW of power while running at 40 MHz operating for an operating efficiency of 10.35 mW/GFlop.


ieee international d systems integration conference | 2014

3D-enabled customizable embedded computer (3DECC)

Paul D. Franzon; Eric Rotenberg; James Tuck; Huiyang Zhou; W. Rhett Davis; Hongwen Dai; Joonmoo Huh; Sunkgwan Ku; Steve Lipa; Chao Li; Jong Beom Park; Joshua Schabel

This paper describes a 3D computer architecture designed to achieve the lowest possible power consumption for “embedded applications” like radar and signal processing. It introduces several unique concepts including a low-power SIMD tile, low-power 3D memories, and 3D and 2.5D interconnect that is circuit switched so it can be tuned at run-time for a specific application. When conservatively projected to the 7 nm node, simulations of the architecture show potential for exceeding 75 GFLOPS/W, about 20x better than todays CPUs and GPUs. This translates to 13 pJ/FLOP. This paper will focus on the 3D specific aspects of the design. This architecture is highly suited to DSP and multimedia workflows.


ieee international d systems integration conference | 2016

Physical design of a 3D-stacked heterogeneous multi-core processor

Randy Widialaksono; Rangeen Basu Roy Chowdhury; Zhenqian Zhang; Joshua Schabel; Steve Lipa; Eric Rotenberg; W. Rhett Davis; Paul D. Franzon

With the end of Dennard scaling, three dimensional stacking has emerged as a promising integration technique to improve microprocessor performance. In this paper we present a 3D-SIC physical design methodology for a multi-core processor using commercial off-the-shelf tools. We explain the various flows involved and present the lessons learned during the design process. The logic dies were fabricated with GlobalFoundries 130 nm process and were stacked using the Ziptronix face-to-face (F2F) bonding technology. We also present a comparative analysis which highlights the benefits of 3D integration. Results indicate an order of magnitude decrease in wirelengths for critical inter-core components in the 3D implementation compared to 2D implementations.


international symposium on circuits and systems | 2013

Exploring early design tradeoffs in 3DIC

Paul D. Franzon; Shivam Priyadarshi; Steve Lipa; W. Rhett Davis; Thorlindur Thorolfsson

This The key to gaining substantial benefit from the use of 3DIC technology is to create 3D specific designs that do more than recast a 2D optimal design into the third dimension. This paper explores some of the approaches to creating 3D specific designs and the CAD tools that can help in that exploration. The power advantages of 3D design are illustrated in details. Results from different partitioning approaches (function, modular and circuit) are presented, together with early results from a thermal pathfinding tool.


international electron devices meeting | 2013

Applications and design styles for 3DIC

Paul D. Franzon; Eric Rotenberg; James Tuck; W. Rhett Davis; Huiyang Zhou; Joshua Schabel; Zhenquian Zhang; Jong Beom Park; Brandon H. Dwiel; Elliott Forbes; Joonmoo Huh; Shivam Priyadarshi; Steve Lipa; Thor Thorolfsson

3D technologies offer significant potential to improve raw performance and performance per unit power. After exploiting TSV technologies for cost reduction and increasing memory bandwidth, the next frontier is to create more sophisticated solutions that promise further increases in power/performance beyond those attributable to memory interfaces alone. These include heterogeneous integration and exploitation of the high amounts of interconnect available to provide for customization. Challenges include the creation of physical standards and the design of sophisticated static and dynamic thermal management methods.


international conference on computer design | 2017

H3 (Heterogeneity in 3D): A Logic-on-Logic 3D-Stacked Heterogeneous Multi-Core Processor

Vinesh Srinivasan; Rangeen Basu Roy Chowdhury; Elliott Forbes; Randy Widialaksono; Zhenqian Zhang; Joshua Schabel; Sungkwan Ku; Steve Lipa; Eric Rotenberg; W. Rhett Davis; Paul D. Franzon

A single-ISA heterogeneous multi-core processor(HMP) [2], [7] is comprised of multiple core types that all implement the same instruction-set architecture (ISA) but have different microarchitectures. Performance and energy is optimized by migrating a threads execution among core types as its characteristics change. Simulation-based studies with two core types, one simple (low power) and the other complex (high performance), has shown that being able to switch cores as frequently as once every 1,000 instructions increases energy savings by 50% compared to switching cores once every 10,000 instructions, for the same target performance [10]. These promising results rely on extremely low latencies for thread migration. Here we present the H3 chip that uses 3D die stacking and novel microarchitecture to implement a heterogeneous multi-core processor (HMP) with low-latency fast thread migration capabilities. We discuss details of the H3 design and present power and performance results from running various benchmarks on the chip. The H3 prototype can reduce power consumption of benchmarks by up to 26%.

Collaboration


Dive into the Steve Lipa's collaboration.

Top Co-Authors

Avatar

Paul D. Franzon

North Carolina State University

View shared research outputs
Top Co-Authors

Avatar

W. Rhett Davis

North Carolina State University

View shared research outputs
Top Co-Authors

Avatar

Eric Rotenberg

North Carolina State University

View shared research outputs
Top Co-Authors

Avatar

Elliott Forbes

North Carolina State University

View shared research outputs
Top Co-Authors

Avatar

Joshua Schabel

North Carolina State University

View shared research outputs
Top Co-Authors

Avatar

Randy Widialaksono

North Carolina State University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Thorlindur Thorolfsson

North Carolina State University

View shared research outputs
Top Co-Authors

Avatar

Zhenqian Zhang

North Carolina State University

View shared research outputs
Top Co-Authors

Avatar

Brandon H. Dwiel

North Carolina State University

View shared research outputs
Researchain Logo
Decentralizing Knowledge