{"id":1933,"date":"2025-01-14T19:59:43","date_gmt":"2025-01-14T19:59:43","guid":{"rendered":"https:\/\/prism.ucsd.edu\/?page_id=1933"},"modified":"2025-01-17T02:06:19","modified_gmt":"2025-01-17T02:06:19","slug":"software-hardware-artifacts-gallery","status":"publish","type":"page","link":"https:\/\/prism.ucsd.edu\/?page_id=1933","title":{"rendered":"Software & Hardware Artifacts Gallery"},"content":{"rendered":"\t\t
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PRISM 2024 Chips Gallery <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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PI Franz Franchetti<\/b><\/p>

High-level specification to chip: SPIRAL-generated logic-to-tapeout FFT accelerator (radix-4 and radix-8)<\/p>

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PI Priyanka Raina<\/b><\/p>

Opal<\/b>: Next generation AIMS data processor for sparse machine learning<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PI Tajana Rosing & <\/b>PI Mingu <\/b>Kang <\/b><\/p>

40nm ReRAM HDnn – Few shot learning for ImageNet with analog ReRAM PIM; Collaboration with Prof. Gert Cauwenberghs@UCSD, Carlos Diaz & Leo Liu @TSMC<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PI Tajana Rosing <\/b>& PI <\/b>Mingu Kang <\/b><\/p>

40nm ASIC HDnn – Few shot learning for ImageNet with low-power feature extractor via pattern sharing; Collaboration with Carlos Diaz & Leo Liu @TSMC; <\/b>[ESSCIRC24]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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PI <\/b>Mingu<\/b> Kang<\/b><\/p>

65nm L1 \/ dot product dual kernel reconfigurable AI processor with PE-level fine-grain power gating<\/p>

[under review in JSSC]<\/p>

Collaboration with Samsung<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PI <\/b>Mingu<\/b> Kang<\/b><\/p>

65nm analog PIM and digital hybrid processor for attention accelerator via token pruning for transformers [ESSCIRC24]<\/p>

Collaboration with Samsung<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PI <\/b>Mingu<\/b> Kang & Tajana Rosing<\/b><\/p>

65nm XGBoost tree-based ensemble classifier with modular tree units and reconfigurable interconnects [CICC24]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PI <\/b>Shimeng Yu<\/b><\/p>

Compute in memory in two different modes on GF 28nm FeFET:\u00a0 drain current & capacitive sensing modes; 3x compute & 8x energy efficiency of ReRAM CIM<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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PRISM 2024 Devices Gallery <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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PI H.-S. Philip Wong<\/b><\/p>

Edge Continual Training and Inference with RRAM-Gain Cell Memory Integrated on Si CMOS [IEDM\u201924]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PI H.-S. Philip Wong<\/b><\/p>

First Experimental Demonstration of Hybrid Gain Cell Memory with Si PMOS and ITO FET for High-speed On-chip Memory [VLSI\u201924]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PI H.-S. <\/b>Philip Wong<\/b><\/p>

Chip Micrograph of Complementary Gain Cell fabricated at Stanford in collaboration with TSMC<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PI Eric Pop <\/b><\/p>

PCM based on TiTe2\/Ge4Sb6Te7 superlattice used in HD computing for mass spectrometry data analysis [IEEE JxCDC\u201924]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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PI <\/b>Sayeef<\/b> Salahuddin<\/b><\/p>

Enhanced Spin Hall Conductivity in Metal\/Semimetal Heterostructure for Energy-efficient Magnetic Memory<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PI <\/b>Vijay Narayanan &
<\/b>PI Kai <\/b>Ni @ SUPREME<\/b><\/p>

Successful integration of the vertical 2T-3C FeRAM cell by stacking the vertical metal-ferroelectricmetal stack on top of CMOS transistors; quasi-nondestructive read out without write back after 10^6 reads\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PI <\/b>Vijay Narayanan & Shimeng Yu
<\/b>PI Kai Ni & M. <\/b>Namier<\/b>\u00a0@ SUPREME <\/b><\/p>

Charge Domain Compute-in-Memory Array with Binary and MLC FeFET;<\/p>

3200 TOPS\/W; 231.67 TOPS\/mm2 with 1-bit input and 1-bit weight operations<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PI Suman Datta<\/b><\/p>

GAA AOS NSFETs (based on W-doped In2O3) used as access transistors for monolithic 3D DRAM [IEDM \u201924]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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PI Suman Datta, PI Shimeng Yu,\u00a0<\/span>Asif\u00a0<\/span>Khan @ SUPREME<\/span><\/b><\/p>

Enlarging\u00a0<\/span>the MW for Fe-VNAND to 7~8V to allow TLC operation<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PRISM 2023 <\/span>Chips & Devices Gallery<\/span><\/span>
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PI Shimeng Yu<\/b><\/p>\n

Courtesy 300mm wafer from Global Foundries 28nm FeFET process for nvCap characterization <\/span>
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PI Shimeng Yu<\/b><\/p>

1<\/span>st<\/span> gen FeFET PIM macro in GF 28SLPe shuttle via Fraunhofer IIS MPW shuttle w\/ FeFET risk manufacturing<\/span><\/p>



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PI Tajana Rosing<\/b><\/p>

40nm ASIC & ReRAM HDnn – Few shot learning for ImageNet size images\u00a0<\/span><\/p>

Collaboration with TSMC<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PI Priyanka Raina<\/b><\/p>

First AIMS data processor for programmably accelerating both dense and sparse applications<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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PI Philip Wong<\/b><\/p>

Oxide Semiconductor Gain Cell fabricated at Stanford<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PI Datta<\/b><\/p>

Chip micrograph of asymmetric dual-gate (ADG) Ferroelectric memory cell array<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PI Pop<\/b>\u00a0<\/span><\/p>

Superlattice phase change memory fabricated at Stanford University<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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PI Salahuddin<\/b><\/p>

Top view of 3D Interlayer-Exchange-Coupled Memory Devices<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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PRISM 2024 Chips Gallery PI Franz Franchetti High-level specification to chip: SPIRAL-generated logic-to-tapeout FFT accelerator (radix-4 and radix-8) PI Priyanka Raina Opal: Next generation AIMS data processor for sparse machine learning PI Tajana Rosing & PI Mingu Kang 40nm ReRAM HDnn – Few shot learning for ImageNet with analog ReRAM […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/template-pagebuilder-full-width.php","meta":{"footnotes":""},"class_list":["post-1933","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/prism.ucsd.edu\/index.php?rest_route=\/wp\/v2\/pages\/1933","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prism.ucsd.edu\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/prism.ucsd.edu\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/prism.ucsd.edu\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/prism.ucsd.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1933"}],"version-history":[{"count":31,"href":"https:\/\/prism.ucsd.edu\/index.php?rest_route=\/wp\/v2\/pages\/1933\/revisions"}],"predecessor-version":[{"id":2002,"href":"https:\/\/prism.ucsd.edu\/index.php?rest_route=\/wp\/v2\/pages\/1933\/revisions\/2002"}],"wp:attachment":[{"href":"https:\/\/prism.ucsd.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1933"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}